From 8983c7c0ffcad5914f2baa40813dcd81cc9684ab Mon Sep 17 00:00:00 2001
From: Ash Martian <ash.lee.martian@gmail.com>
Date: Fri, 24 Nov 2023 11:28:20 -0800
Subject: [PATCH] Update

---
 .eslintrc.cjs                         |   45 +
 index.html                            |   12 +-
 package-lock.json                     | 6009 ++++++++++++++++++++++---
 package.json                          |   28 +-
 public/model/group1-shard1of1.bin     |  Bin 626180 -> 675844 bytes
 public/model/model.json               |    2 +-
 src/App.css                           |   14 +-
 src/App.tsx                           |  106 +-
 src/components/Analyze.tsx            |  115 +-
 src/components/AudioControls.tsx      |  109 +
 src/components/AudioDropzone.tsx      |   86 +
 src/components/AudioRecorder.tsx      |  127 +
 src/components/AudioScrubber.tsx      |  162 +
 src/components/GenderPrediction.tsx   |  263 +-
 src/components/MediaVerification.tsx  |  495 +-
 src/components/Note.tsx               |   96 +-
 src/components/Settings.tsx           |  151 +
 src/components/index.ts               |    8 +
 src/contexts/AudioAnalyserContext.tsx |  131 +-
 src/contexts/InputAudioContext.tsx    |  241 +-
 src/contexts/MediaStreamContext.tsx   |   55 +-
 src/contexts/index.ts                 |    6 +-
 src/index.css                         |   21 +-
 src/main.tsx                          |    7 +-
 src/store/index.ts                    |    1 +
 src/store/settings.ts                 |   52 +
 src/utils/extract.ts                  |   30 +
 src/utils/sound.ts                    |  566 ++-
 src/utils/theme.ts                    |   78 +
 src/utils/useInterval.ts              |   15 +-
 src/utils/useRealtimePrediction.ts    |   65 +
 src/vite-env.d.ts                     |    1 +
 tsconfig.json                         |    7 +-
 vite.config.ts                        |    5 +-
 34 files changed, 7722 insertions(+), 1387 deletions(-)
 create mode 100644 .eslintrc.cjs
 create mode 100644 src/components/AudioControls.tsx
 create mode 100644 src/components/AudioDropzone.tsx
 create mode 100644 src/components/AudioRecorder.tsx
 create mode 100644 src/components/AudioScrubber.tsx
 create mode 100644 src/components/Settings.tsx
 create mode 100644 src/components/index.ts
 create mode 100644 src/store/index.ts
 create mode 100644 src/store/settings.ts
 create mode 100644 src/utils/extract.ts
 create mode 100644 src/utils/theme.ts
 create mode 100644 src/utils/useRealtimePrediction.ts

diff --git a/.eslintrc.cjs b/.eslintrc.cjs
new file mode 100644
index 0000000..9e63cb8
--- /dev/null
+++ b/.eslintrc.cjs
@@ -0,0 +1,45 @@
+module.exports = {
+  env: {
+    browser: true,
+    es2021: true
+  },
+  extends: [
+    'plugin:react/recommended',
+    'eslint:recommended',
+    'standard-with-typescript'
+  ],
+  overrides: [
+    {
+      files: ['*.ts', '*.tsx'], // Your TypeScript files extension
+
+      // As mentioned in the comments, you should extend TypeScript plugins here,
+      // instead of extending them outside the `overrides`.
+      // If you don't want to extend any rules, you don't need an `extends` attribute.
+      extends: [
+        'plugin:@typescript-eslint/recommended',
+        'plugin:@typescript-eslint/recommended-requiring-type-checking'
+      ],
+
+      parserOptions: {
+        project: ['./tsconfig.json'] // Specify it only for TypeScript files
+      }
+    }
+  ],
+  parserOptions: {
+    ecmaVersion: 'latest',
+    sourceType: 'module',
+    ecmaFeatures: {
+      jsx: true
+    }
+  },
+  plugins: [
+    'react'
+  ],
+  rules: {
+    'no-use-before-define': 'off',
+    'max-len': ['error', { code: 120 }],
+    'react/react-in-jsx-scope': 'off',
+    '@typescript-eslint/no-use-before-define': ['error'],
+    'react/jsx-indent': ['error', 2]
+  }
+}
diff --git a/index.html b/index.html
index e0d1c84..aad7fb5 100644
--- a/index.html
+++ b/index.html
@@ -4,10 +4,20 @@
     <meta charset="UTF-8" />
     <link rel="icon" type="image/svg+xml" href="/vite.svg" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <title>Vite + React + TS</title>
+    <title>Voice</title>
   </head>
   <body>
     <div id="root"></div>
     <script type="module" src="/src/main.tsx"></script>
+    <script async src="https://pagead2.googlesyndication.com/pagead/js/adsbygoogle.js?client=ca-pub-1567322254717202" crossorigin="anonymous"></script>
+    <!-- Google tag (gtag.js) -->
+      <script async src="https://www.googletagmanager.com/gtag/js?id=G-S1CVX2FQX6"></script>
+      <script>
+        window.dataLayer = window.dataLayer || [];
+        function gtag(){dataLayer.push(arguments);}
+        gtag('js', new Date());
+
+        gtag('config', 'G-S1CVX2FQX6');
+      </script>
   </body>
 </html>
diff --git a/package-lock.json b/package-lock.json
index b4eeebc..18ba46d 100644
--- a/package-lock.json
+++ b/package-lock.json
@@ -1,39 +1,93 @@
 {
   "name": "voice-feedback",
   "version": "0.0.0",
-  "lockfileVersion": 1,
+  "lockfileVersion": 3,
   "requires": true,
-  "dependencies": {
-    "@ampproject/remapping": {
+  "packages": {
+    "": {
+      "name": "voice-feedback",
+      "version": "0.0.0",
+      "dependencies": {
+        "@ctrl/react-adsense": "^1.6.1",
+        "@emotion/react": "^11.10.5",
+        "@ffmpeg/ffmpeg": "^0.11.6",
+        "@mantine/core": "^5.7.1",
+        "@mantine/dropzone": "^5.8.0",
+        "@mantine/hooks": "^5.7.1",
+        "@tabler/icons": "^1.111.0",
+        "@tensorflow/tfjs": "^4.0.0",
+        "@types/meyda": "^4.3.3",
+        "@types/ndarray": "^1.0.11",
+        "browser": "^0.2.6",
+        "ffmpeg": "^0.0.4",
+        "fft.js": "^4.0.4",
+        "lamejstmp": "^1.0.1",
+        "meyda": "^5.6.0",
+        "mic-check": "^1.1.0",
+        "ndarray": "^1.0.19",
+        "ndarray-resample": "^1.0.1",
+        "react": "^18.2.0",
+        "react-dom": "^18.2.0",
+        "react-icons": "^4.6.0",
+        "react-tensorflow": "^2.2.0",
+        "usehooks-ts": "^2.9.1",
+        "vite-tsconfig-paths": "^4.0.7",
+        "zustand": "^4.2.0"
+      },
+      "devDependencies": {
+        "@types/ffmpeg": "^1.0.4",
+        "@types/react": "^18.0.24",
+        "@types/react-dom": "^18.0.8",
+        "@typescript-eslint/eslint-plugin": "^5.48.0",
+        "@typescript-eslint/parser": "^5.48.0",
+        "@vitejs/plugin-react": "^2.2.0",
+        "eslint": "^8.31.0",
+        "eslint-config-standard-with-typescript": "^26.0.0",
+        "eslint-plugin-import": "^2.26.0",
+        "eslint-plugin-n": "^15.6.0",
+        "eslint-plugin-promise": "^6.1.1",
+        "eslint-plugin-react": "^7.31.11",
+        "opus-media-recorder": "^0.8.0",
+        "typescript": "^4.9.5",
+        "vite": "^3.2.3"
+      }
+    },
+    "node_modules/@ampproject/remapping": {
       "version": "2.2.0",
       "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.0.tgz",
       "integrity": "sha512-qRmjj8nj9qmLTQXXmaR1cck3UXSRMPrbsLJAasZpF+t3riI71BXed5ebIOYwQntykeZuhjsdweEc9BxH5Jc26w==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@jridgewell/gen-mapping": "^0.1.0",
         "@jridgewell/trace-mapping": "^0.3.9"
+      },
+      "engines": {
+        "node": ">=6.0.0"
       }
     },
-    "@babel/code-frame": {
+    "node_modules/@babel/code-frame": {
       "version": "7.18.6",
       "resolved": "https://registry.npmjs.org/@babel/code-frame/-/code-frame-7.18.6.tgz",
       "integrity": "sha512-TDCmlK5eOvH+eH7cdAFlNXeVJqWIQ7gW9tY1GJIpUtFb6CmjVyq2VM3u71bOyR8CRihcCgMUYoDNyLXao3+70Q==",
-      "requires": {
+      "dependencies": {
         "@babel/highlight": "^7.18.6"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/compat-data": {
+    "node_modules/@babel/compat-data": {
       "version": "7.20.1",
       "resolved": "https://registry.npmjs.org/@babel/compat-data/-/compat-data-7.20.1.tgz",
       "integrity": "sha512-EWZ4mE2diW3QALKvDMiXnbZpRvlj+nayZ112nK93SnhqOtpdsbVD4W+2tEoT3YNBAG9RBR0ISY758ZkOgsn6pQ==",
-      "dev": true
+      "engines": {
+        "node": ">=6.9.0"
+      }
     },
-    "@babel/core": {
+    "node_modules/@babel/core": {
       "version": "7.20.2",
       "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.20.2.tgz",
       "integrity": "sha512-w7DbG8DtMrJcFOi4VrLm+8QM4az8Mo+PuLBKLp2zrYRCow8W/f9xiXm5sN53C8HksCyDQwCKha9JiDoIyPjT2g==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@ampproject/remapping": "^2.1.0",
         "@babel/code-frame": "^7.18.6",
         "@babel/generator": "^7.20.2",
@@ -49,92 +103,117 @@
         "gensync": "^1.0.0-beta.2",
         "json5": "^2.2.1",
         "semver": "^6.3.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "funding": {
+        "type": "opencollective",
+        "url": "https://opencollective.com/babel"
       }
     },
-    "@babel/generator": {
+    "node_modules/@babel/generator": {
       "version": "7.20.3",
       "resolved": "https://registry.npmjs.org/@babel/generator/-/generator-7.20.3.tgz",
       "integrity": "sha512-Wl5ilw2UD1+ZYprHVprxHZJCFeBWlzZYOovE4SDYLZnqCOD11j+0QzNeEWKLLTWM7nixrZEh7vNIyb76MyJg3A==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/types": "^7.20.2",
         "@jridgewell/gen-mapping": "^0.3.2",
         "jsesc": "^2.5.1"
       },
+      "engines": {
+        "node": ">=6.9.0"
+      }
+    },
+    "node_modules/@babel/generator/node_modules/@jridgewell/gen-mapping": {
+      "version": "0.3.2",
+      "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.2.tgz",
+      "integrity": "sha512-mh65xKQAzI6iBcFzwv28KVWSmCkdRBWoOh+bYQGW3+6OZvbbN3TqMGo5hqYxQniRcH9F2VZIoJCm4pa3BPDK/A==",
       "dependencies": {
-        "@jridgewell/gen-mapping": {
-          "version": "0.3.2",
-          "resolved": "https://registry.npmjs.org/@jridgewell/gen-mapping/-/gen-mapping-0.3.2.tgz",
-          "integrity": "sha512-mh65xKQAzI6iBcFzwv28KVWSmCkdRBWoOh+bYQGW3+6OZvbbN3TqMGo5hqYxQniRcH9F2VZIoJCm4pa3BPDK/A==",
-          "dev": true,
-          "requires": {
-            "@jridgewell/set-array": "^1.0.1",
-            "@jridgewell/sourcemap-codec": "^1.4.10",
-            "@jridgewell/trace-mapping": "^0.3.9"
-          }
-        }
+        "@jridgewell/set-array": "^1.0.1",
+        "@jridgewell/sourcemap-codec": "^1.4.10",
+        "@jridgewell/trace-mapping": "^0.3.9"
+      },
+      "engines": {
+        "node": ">=6.0.0"
       }
     },
-    "@babel/helper-annotate-as-pure": {
+    "node_modules/@babel/helper-annotate-as-pure": {
       "version": "7.18.6",
       "resolved": "https://registry.npmjs.org/@babel/helper-annotate-as-pure/-/helper-annotate-as-pure-7.18.6.tgz",
       "integrity": "sha512-duORpUiYrEpzKIop6iNbjnwKLAKnJ47csTyRACyEmWj0QdUrm5aqNJGHSSEQSUAvNW0ojX0dOmK9dZduvkfeXA==",
       "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/types": "^7.18.6"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/helper-compilation-targets": {
+    "node_modules/@babel/helper-compilation-targets": {
       "version": "7.20.0",
       "resolved": "https://registry.npmjs.org/@babel/helper-compilation-targets/-/helper-compilation-targets-7.20.0.tgz",
       "integrity": "sha512-0jp//vDGp9e8hZzBc6N/KwA5ZK3Wsm/pfm4CrY7vzegkVxc65SgSn6wYOnwHe9Js9HRQ1YTCKLGPzDtaS3RoLQ==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/compat-data": "^7.20.0",
         "@babel/helper-validator-option": "^7.18.6",
         "browserslist": "^4.21.3",
         "semver": "^6.3.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
+      },
+      "peerDependencies": {
+        "@babel/core": "^7.0.0"
       }
     },
-    "@babel/helper-environment-visitor": {
+    "node_modules/@babel/helper-environment-visitor": {
       "version": "7.18.9",
       "resolved": "https://registry.npmjs.org/@babel/helper-environment-visitor/-/helper-environment-visitor-7.18.9.tgz",
       "integrity": "sha512-3r/aACDJ3fhQ/EVgFy0hpj8oHyHpQc+LPtJoY9SzTThAsStm4Ptegq92vqKoE3vD706ZVFWITnMnxucw+S9Ipg==",
-      "dev": true
+      "engines": {
+        "node": ">=6.9.0"
+      }
     },
-    "@babel/helper-function-name": {
+    "node_modules/@babel/helper-function-name": {
       "version": "7.19.0",
       "resolved": "https://registry.npmjs.org/@babel/helper-function-name/-/helper-function-name-7.19.0.tgz",
       "integrity": "sha512-WAwHBINyrpqywkUH0nTnNgI5ina5TFn85HKS0pbPDfxFfhyR/aNQEn4hGi1P1JyT//I0t4OgXUlofzWILRvS5w==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/template": "^7.18.10",
         "@babel/types": "^7.19.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/helper-hoist-variables": {
+    "node_modules/@babel/helper-hoist-variables": {
       "version": "7.18.6",
       "resolved": "https://registry.npmjs.org/@babel/helper-hoist-variables/-/helper-hoist-variables-7.18.6.tgz",
       "integrity": "sha512-UlJQPkFqFULIcyW5sbzgbkxn2FKRgwWiRexcuaR8RNJRy8+LLveqPjwZV/bwrLZCN0eUHD/x8D0heK1ozuoo6Q==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/types": "^7.18.6"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/helper-module-imports": {
+    "node_modules/@babel/helper-module-imports": {
       "version": "7.18.6",
       "resolved": "https://registry.npmjs.org/@babel/helper-module-imports/-/helper-module-imports-7.18.6.tgz",
       "integrity": "sha512-0NFvs3VkuSYbFi1x2Vd6tKrywq+z/cLeYC/RJNFrIX/30Bf5aiGYbtvGXolEktzJH8o5E5KJ3tT+nkxuuZFVlA==",
-      "requires": {
+      "dependencies": {
         "@babel/types": "^7.18.6"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/helper-module-transforms": {
+    "node_modules/@babel/helper-module-transforms": {
       "version": "7.20.2",
       "resolved": "https://registry.npmjs.org/@babel/helper-module-transforms/-/helper-module-transforms-7.20.2.tgz",
       "integrity": "sha512-zvBKyJXRbmK07XhMuujYoJ48B5yvvmM6+wcpv6Ivj4Yg6qO7NOZOSnvZN9CRl1zz1Z4cKf8YejmCMh8clOoOeA==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/helper-environment-visitor": "^7.18.9",
         "@babel/helper-module-imports": "^7.18.6",
         "@babel/helper-simple-access": "^7.20.2",
@@ -143,147 +222,209 @@
         "@babel/template": "^7.18.10",
         "@babel/traverse": "^7.20.1",
         "@babel/types": "^7.20.2"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/helper-plugin-utils": {
+    "node_modules/@babel/helper-plugin-utils": {
       "version": "7.20.2",
       "resolved": "https://registry.npmjs.org/@babel/helper-plugin-utils/-/helper-plugin-utils-7.20.2.tgz",
-      "integrity": "sha512-8RvlJG2mj4huQ4pZ+rU9lqKi9ZKiRmuvGuM2HlWmkmgOhbs6zEAw6IEiJ5cQqGbDzGZOhwuOQNtZMi/ENLjZoQ=="
+      "integrity": "sha512-8RvlJG2mj4huQ4pZ+rU9lqKi9ZKiRmuvGuM2HlWmkmgOhbs6zEAw6IEiJ5cQqGbDzGZOhwuOQNtZMi/ENLjZoQ==",
+      "engines": {
+        "node": ">=6.9.0"
+      }
     },
-    "@babel/helper-simple-access": {
+    "node_modules/@babel/helper-simple-access": {
       "version": "7.20.2",
       "resolved": "https://registry.npmjs.org/@babel/helper-simple-access/-/helper-simple-access-7.20.2.tgz",
       "integrity": "sha512-+0woI/WPq59IrqDYbVGfshjT5Dmk/nnbdpcF8SnMhhXObpTq2KNBdLFRFrkVdbDOyUmHBCxzm5FHV1rACIkIbA==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/types": "^7.20.2"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/helper-split-export-declaration": {
+    "node_modules/@babel/helper-split-export-declaration": {
       "version": "7.18.6",
       "resolved": "https://registry.npmjs.org/@babel/helper-split-export-declaration/-/helper-split-export-declaration-7.18.6.tgz",
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-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/types": "^7.18.6"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/helper-string-parser": {
+    "node_modules/@babel/helper-string-parser": {
       "version": "7.19.4",
       "resolved": "https://registry.npmjs.org/@babel/helper-string-parser/-/helper-string-parser-7.19.4.tgz",
-      "integrity": "sha512-nHtDoQcuqFmwYNYPz3Rah5ph2p8PFeFCsZk9A/48dPc/rGocJ5J3hAAZ7pb76VWX3fZKu+uEr/FhH5jLx7umrw=="
+      "integrity": "sha512-nHtDoQcuqFmwYNYPz3Rah5ph2p8PFeFCsZk9A/48dPc/rGocJ5J3hAAZ7pb76VWX3fZKu+uEr/FhH5jLx7umrw==",
+      "engines": {
+        "node": ">=6.9.0"
+      }
     },
-    "@babel/helper-validator-identifier": {
+    "node_modules/@babel/helper-validator-identifier": {
       "version": "7.19.1",
       "resolved": "https://registry.npmjs.org/@babel/helper-validator-identifier/-/helper-validator-identifier-7.19.1.tgz",
-      "integrity": "sha512-awrNfaMtnHUr653GgGEs++LlAvW6w+DcPrOliSMXWCKo597CwL5Acf/wWdNkf/tfEQE3mjkeD1YOVZOUV/od1w=="
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+      "engines": {
+        "node": ">=6.9.0"
+      }
     },
-    "@babel/helper-validator-option": {
+    "node_modules/@babel/helper-validator-option": {
       "version": "7.18.6",
       "resolved": "https://registry.npmjs.org/@babel/helper-validator-option/-/helper-validator-option-7.18.6.tgz",
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-      "dev": true
+      "engines": {
+        "node": ">=6.9.0"
+      }
     },
-    "@babel/helpers": {
+    "node_modules/@babel/helpers": {
       "version": "7.20.1",
       "resolved": "https://registry.npmjs.org/@babel/helpers/-/helpers-7.20.1.tgz",
       "integrity": "sha512-J77mUVaDTUJFZ5BpP6mMn6OIl3rEWymk2ZxDBQJUG3P+PbmyMcF3bYWvz0ma69Af1oobDqT/iAsvzhB58xhQUg==",
-      "dev": true,
-      "requires": {
+      "dependencies": {
         "@babel/template": "^7.18.10",
         "@babel/traverse": "^7.20.1",
         "@babel/types": "^7.20.0"
+      },
+      "engines": {
+        "node": ">=6.9.0"
       }
     },
-    "@babel/highlight": {
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+      }
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-    "yargs": {
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-      "requires": {
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         "escalade": "^3.1.1",
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@@ -1957,12 +6555,53 @@
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         "y18n": "^5.0.5",
         "yargs-parser": "^20.2.2"
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+      "funding": {
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 }
diff --git a/package.json b/package.json
index 199ac6a..2db31a0 100644
--- a/package.json
+++ b/package.json
@@ -9,23 +9,47 @@
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   },
   "dependencies": {
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     "@emotion/react": "^11.10.5",
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     "@mantine/core": "^5.7.1",
+    "@mantine/dropzone": "^5.8.0",
     "@mantine/hooks": "^5.7.1",
+    "@tabler/icons": "^1.111.0",
     "@tensorflow/tfjs": "^4.0.0",
+    "@types/meyda": "^4.3.3",
+    "@types/ndarray": "^1.0.11",
     "browser": "^0.2.6",
+    "ffmpeg": "^0.0.4",
+    "fft.js": "^4.0.4",
+    "lamejstmp": "^1.0.1",
+    "meyda": "^5.6.0",
     "mic-check": "^1.1.0",
+    "ndarray": "^1.0.19",
+    "ndarray-resample": "^1.0.1",
     "react": "^18.2.0",
     "react-dom": "^18.2.0",
     "react-icons": "^4.6.0",
     "react-tensorflow": "^2.2.0",
-    "usehooks-ts": "^2.9.1"
+    "usehooks-ts": "^2.9.1",
+    "vite-tsconfig-paths": "^4.0.7",
+    "zustand": "^4.2.0"
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   "devDependencies": {
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     "@types/react": "^18.0.24",
     "@types/react-dom": "^18.0.8",
+    "@typescript-eslint/eslint-plugin": "^5.48.0",
+    "@typescript-eslint/parser": "^5.48.0",
     "@vitejs/plugin-react": "^2.2.0",
-    "typescript": "^4.6.4",
+    "eslint": "^8.31.0",
+    "eslint-config-standard-with-typescript": "^26.0.0",
+    "eslint-plugin-import": "^2.26.0",
+    "eslint-plugin-n": "^15.6.0",
+    "eslint-plugin-promise": "^6.1.1",
+    "eslint-plugin-react": "^7.31.11",
+    "opus-media-recorder": "^0.8.0",
+    "typescript": "^4.9.5",
     "vite": "^3.2.3"
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diff --git a/public/model/model.json b/public/model/model.json
index ab689c6..4ed9845 100644
--- a/public/model/model.json
+++ b/public/model/model.json
@@ -1 +1 @@
-{"format": "layers-model", "generatedBy": "keras v2.10.0", "convertedBy": "TensorFlow.js Converter v4.0.0", "modelTopology": {"keras_version": "2.10.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, 128], "dtype": "float32", "sparse": false, "ragged": false, "name": "dense_input"}}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "batch_input_shape": [null, 128], "dtype": "float32", "units": 256, "activation": "linear", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 256, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_1", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 128, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_2", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 128, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_3", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_4", "trainable": true, "dtype": "float32", "units": 64, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_4", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_5", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}]}}, "training_config": {"loss": "binary_crossentropy", "metrics": ["accuracy"], "loss_weights": null, "sample_weight_mode": null, "weighted_metrics": null, "optimizer_config": {"class_name": "Adam", "config": {"name": "Adam", "learning_rate": 0.0010000000474974513, "decay": 0.0, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "epsilon": 1e-07, "amsgrad": false}}}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "dense/kernel", "shape": [128, 256], "dtype": "float32"}, {"name": "dense/bias", "shape": [256], "dtype": "float32"}, {"name": "dense_1/kernel", "shape": [256, 256], "dtype": "float32"}, {"name": "dense_1/bias", "shape": [256], "dtype": "float32"}, {"name": "dense_2/kernel", "shape": [256, 128], "dtype": "float32"}, {"name": "dense_2/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_3/kernel", "shape": [128, 128], "dtype": "float32"}, {"name": "dense_3/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_4/kernel", "shape": [128, 64], "dtype": "float32"}, {"name": "dense_4/bias", "shape": [64], "dtype": "float32"}, {"name": "dense_5/kernel", "shape": [64, 1], "dtype": "float32"}, {"name": "dense_5/bias", "shape": [1], "dtype": "float32"}]}]}
\ No newline at end of file
+{"format": "layers-model", "generatedBy": "keras v2.11.0", "convertedBy": "TensorFlow.js Converter v4.2.0", "modelTopology": {"keras_version": "2.11.0", "backend": "tensorflow", "model_config": {"class_name": "Sequential", "config": {"name": "sequential", "layers": [{"class_name": "InputLayer", "config": {"batch_input_shape": [null, null, 56], "dtype": "float32", "sparse": false, "ragged": false, "name": "lstm_input"}}, {"class_name": "LSTM", "config": {"name": "lstm", "trainable": true, "dtype": "float32", "batch_input_shape": [null, null, 56], "return_sequences": false, "return_state": false, "go_backwards": false, "stateful": false, "unroll": false, "time_major": false, "units": 128, "activation": "tanh", "recurrent_activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "recurrent_initializer": {"class_name": "Orthogonal", "config": {"gain": 1.0, "seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "unit_forget_bias": true, "kernel_regularizer": null, "recurrent_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "recurrent_constraint": null, "bias_constraint": null, "dropout": 0.0, "recurrent_dropout": 0.0, "implementation": 2}}, {"class_name": "Dropout", "config": {"name": "dropout", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense", "trainable": true, "dtype": "float32", "units": 256, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_1", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_1", "trainable": true, "dtype": "float32", "units": 128, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_2", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_2", "trainable": true, "dtype": "float32", "units": 64, "activation": "relu", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}, {"class_name": "Dropout", "config": {"name": "dropout_3", "trainable": true, "dtype": "float32", "rate": 0.3, "noise_shape": null, "seed": null}}, {"class_name": "Dense", "config": {"name": "dense_3", "trainable": true, "dtype": "float32", "units": 1, "activation": "sigmoid", "use_bias": true, "kernel_initializer": {"class_name": "GlorotUniform", "config": {"seed": null}}, "bias_initializer": {"class_name": "Zeros", "config": {}}, "kernel_regularizer": null, "bias_regularizer": null, "activity_regularizer": null, "kernel_constraint": null, "bias_constraint": null}}]}}, "training_config": {"loss": "binary_crossentropy", "metrics": [[{"class_name": "MeanMetricWrapper", "config": {"name": "accuracy", "dtype": "float32", "fn": "binary_accuracy"}}]], "weighted_metrics": null, "loss_weights": null, "optimizer_config": {"class_name": "Adam", "config": {"name": "Adam", "learning_rate": 0.0010000000474974513, "decay": 0.0, "beta_1": 0.8999999761581421, "beta_2": 0.9990000128746033, "epsilon": 1e-07, "amsgrad": false}}}}, "weightsManifest": [{"paths": ["group1-shard1of1.bin"], "weights": [{"name": "dense/kernel", "shape": [128, 256], "dtype": "float32"}, {"name": "dense/bias", "shape": [256], "dtype": "float32"}, {"name": "dense_1/kernel", "shape": [256, 128], "dtype": "float32"}, {"name": "dense_1/bias", "shape": [128], "dtype": "float32"}, {"name": "dense_2/kernel", "shape": [128, 64], "dtype": "float32"}, {"name": "dense_2/bias", "shape": [64], "dtype": "float32"}, {"name": "dense_3/kernel", "shape": [64, 1], "dtype": "float32"}, {"name": "dense_3/bias", "shape": [1], "dtype": "float32"}, {"name": "lstm/lstm_cell/kernel", "shape": [56, 512], "dtype": "float32"}, {"name": "lstm/lstm_cell/recurrent_kernel", "shape": [128, 512], "dtype": "float32"}, {"name": "lstm/lstm_cell/bias", "shape": [512], "dtype": "float32"}]}]}
\ No newline at end of file
diff --git a/src/App.css b/src/App.css
index 9b8c4ef..1c86d92 100644
--- a/src/App.css
+++ b/src/App.css
@@ -9,6 +9,7 @@
 
 .note {
   font-size: 4em;
+  min-height: 1em;
 }
 
 .prediction {
@@ -25,12 +26,23 @@
 
 /* past-prediction fade out animation 200s */
 .past-prediction {
-  animation: fadeOut 200s;
+  animation: fadeOut 120s linear;
 }
 
 @keyframes fadeOut {
   0% {
     opacity: 1;
+    transform: scaleY(0);
+  }
+  0.5% {
+    opacity: 1;
+    transform: scaleY(1);
+  }
+  5% {
+    opacity: 1;
+  }
+  10% {
+    opacity: 0.6;
   }
   100% {
     opacity: 0;
diff --git a/src/App.tsx b/src/App.tsx
index b121fd5..e185d1b 100644
--- a/src/App.tsx
+++ b/src/App.tsx
@@ -1,38 +1,90 @@
-import { Button, createStyles } from '@mantine/core';
-import Analyze from './components/Analyze'
-import { useMediaStream } from './contexts/MediaStreamContext'
 import './App.css'
-import Note from './components/Note';
-import GenderPrediction from './components/GenderPrediction';
 
-const useStyles = createStyles(() => ({
-  button: {
-    borderRadius: '8px',
-    border: '1px solid transparent',
-    padding: '0.6em 1.2em',
-    fontWeight: 500,
-    fontFamily: 'inherit',
-    backgroundColor: '#1a1a1a',
-    cursor: 'pointer',
-    transition: 'border-color 0.25s',
-  },
-}));
+import React, { useRef } from 'react'
 
-function App() {
+import {
+  Button,
+  Group,
+  MantineProvider
+} from '@mantine/core'
+import {
+  IconFileMusic,
+  IconMicrophone2,
+  IconMicrophone2Off
+} from '@tabler/icons'
 
-  const { stream, start, stop } = useMediaStream();
+// import {Adsense} from '@ctrl/react-adsense';
 
-  const toggleMic = () => stream ? stop() : start();
+import {
+  Analyze,
+  AudioControls,
+  AudioDropzone,
+  AudioRecorder,
+  GenderPrediction,
+  Note,
+  Settings
+} from './components'
+import {
+  useInputAudio,
+  useMediaStream
+} from './contexts'
+import { useSettingsStore, defaultSettings } from './store'
+import { theme } from './utils/theme'
 
-  const { classes } = useStyles();
+function App (): JSX.Element {
+  const { stream, start, stop } = useMediaStream()
+  const { loadFile, unloadFile, file } = useInputAudio()
+  const { settings } = useSettingsStore()
+
+  const toggleMic = async (): Promise<void> => {
+    if (file != null) {
+      await unloadFile()
+    }
+    if (stream != null) { stop() } else { await start() }
+  }
+
+  const openRef = useRef<() => void>(null)
 
   return (
-    <div className="App">
-      <Button className={classes.button} onClick={toggleMic}>{stream ? 'Stop' : 'Start'} Mic</Button>
-      <Analyze />
-      <Note />
-      <GenderPrediction />
-    </div>
+    <MantineProvider theme={theme({...defaultSettings, ...settings})} withCSSVariables>
+      <div className="App">
+        <Settings />
+        <Group position='center'>
+          {(stream == null) && (
+            <Button variant="outline" onClick={() => {
+              if (openRef.current != null) {
+                openRef.current()
+              }
+            }} leftIcon={<IconFileMusic />}
+            >
+              {(file != null) ? file.name : 'Open File'}
+            </Button>
+          )}
+          <Button variant="outline" onClick={() => {
+            toggleMic()
+          }}
+          leftIcon={(stream != null) ? <IconMicrophone2Off /> : <IconMicrophone2 />}
+          >
+            {(stream != null) ? 'Stop' : 'Start'} Mic
+          </Button>
+        </Group>
+        {/* <AudioRecorder /> */}
+        <AudioControls />
+        <Analyze />
+        <Note />
+        <GenderPrediction />
+        {/*<Adsense
+          client="ca-pub-1567322254717202"
+          slot="7259870550"
+          style={{ display: 'block' }}
+          layout="in-article"
+          format="fluid"
+        />*/}
+        <AudioDropzone openRef={openRef} onFile={(file) => {
+          void loadFile(file)
+        }} />
+      </div>
+    </MantineProvider>
   )
 }
 
diff --git a/src/components/Analyze.tsx b/src/components/Analyze.tsx
index 87a85a3..6ba08df 100644
--- a/src/components/Analyze.tsx
+++ b/src/components/Analyze.tsx
@@ -1,65 +1,68 @@
-import {FC, createRef, useEffect } from "react";
-import MediaVerification from "./MediaVerification";
-import { useAudioAnalyser } from '../contexts/AudioAnalyserContext';
+import {
+  createRef,
+  useEffect
+} from 'react'
 
+import { useAudioAnalyser } from '../contexts/AudioAnalyserContext'
+import { MediaVerification } from './MediaVerification'
 
-const Analyze: React.FC = () => {
-    const canvasRef = createRef<HTMLCanvasElement>();
-    const { analyser } = useAudioAnalyser();
-  
-    useEffect(() => {
-      if (!analyser) {
-        console.log("No analyzer")
-        return;
+export const Analyze: React.FC = () => {
+  const canvasRef = createRef<HTMLCanvasElement>()
+  const { analyser, playing } = useAudioAnalyser()
+
+  useEffect(() => {
+    if (analyser == null) {
+      return
+    }
+
+    let raf = 0
+    const draw = (): void => {
+      requestAnimationFrame(draw)
+      if (!playing) {
+        return
       }
-  
-      let raf: number;
-  
-      const data = new Uint8Array(analyser.frequencyBinCount);
-  
-      const draw = () => {
-        raf = requestAnimationFrame(draw);
-        analyser.getByteTimeDomainData(data);
-        const canvas = canvasRef.current;
-        if (canvas) {
-          const { height, width } = canvas;
-          const context = canvas.getContext('2d');
-          let x = 0;
-          const sliceWidth = (width * 1.0) / data.length;
-  
-          if (context) {
-            context.lineWidth = 2;
-            context.strokeStyle = '#fff';
-            // context.fillStyle = "rgba(255,255,255,0.2)";
-            context.clearRect(0, 0, width, height);
-  
-            context.beginPath();
-            context.moveTo(0, height / 2);
-            for (const item of data) {
-              const y = (item / 255.0) * height;
-              context.lineTo(x, y);
-              x += sliceWidth;
-            }
-            context.lineTo(x, height / 2);
-            context.stroke();
+      const currentTimeDomainData = new Uint8Array(analyser.fftSize)
+      analyser.getByteTimeDomainData(currentTimeDomainData)
+      const canvas = canvasRef.current
+      // Check if the current Time data is full of 128s (silence)
+      const isSilence = currentTimeDomainData.every((v) => v === 128)
+      if (canvas != null && !isSilence) {
+        const { height, width } = canvas
+        const context = canvas.getContext('2d')
+        let x = 0
+        const sliceWidth = (width * 1.0) / currentTimeDomainData.length
+
+        if (context != null) {
+          context.lineWidth = 2
+          context.strokeStyle = '#fff'
+          // context.fillStyle = "rgba(255,255,255,0.2)";
+          context.clearRect(0, 0, width, height)
+
+          context.beginPath()
+          context.moveTo(0, height / 2)
+          for (const item of currentTimeDomainData) {
+            const y = (item / 255.0) * height
+            context.lineTo(x, y)
+            x += sliceWidth
           }
+          context.lineTo(x, height / 2)
+          context.stroke()
         }
-      };
-      draw();
-  
-  
-      return () => {
-        cancelAnimationFrame(raf);
       }
-    }, [canvasRef, analyser]);
-  
-    if (!analyser) {
-      return <MediaVerification />;
     }
+    raf = requestAnimationFrame(draw)
+    return () => { cancelAnimationFrame(raf) }
+  }, [canvasRef, analyser])
 
-    return (
-        <canvas className="waveform" width="1200" height="200" ref={canvasRef} />
-    );
-};
+  if (analyser == null) {
+    return <MediaVerification />
+  }
 
-export default Analyze;
+  return (
+    <canvas className="waveform" width="1200" height="200" style={{
+      maxWidth: '98vw',
+      marginTop: '-4vw',
+      marginBottom: '-4vw'
+    }} ref={canvasRef} />
+  )
+}
diff --git a/src/components/AudioControls.tsx b/src/components/AudioControls.tsx
new file mode 100644
index 0000000..779e41b
--- /dev/null
+++ b/src/components/AudioControls.tsx
@@ -0,0 +1,109 @@
+import {
+  useCallback,
+  useState
+} from 'react'
+
+import {
+  Button,
+  Group
+} from '@mantine/core'
+import {
+  IconPlayerPause,
+  IconPlayerPlay
+} from '@tabler/icons'
+
+import { useInputAudio } from '../contexts'
+import { useSettingsStore } from '../store'
+import useInterval from '../utils/useInterval'
+import { AudioScrubber } from './AudioScrubber'
+
+export const AudioControls = (): JSX.Element => {
+  const { buffer, audioCtx, file, scrubFile, playFile, pauseFile, playing } = useInputAudio()
+  const { settings } = useSettingsStore()
+  const [playTime, setPlayTime] = useState(0)
+  const [currentTime, setCurrentTime] = useState(0)
+  const [scrubbing, setScrubbing] = useState(false)
+
+  const play = useCallback(() => {
+    if (audioCtx != null) {
+      setPlayTime(Date.now() - (currentTime * 1000))
+      playFile(currentTime)
+    } else {
+      console.error('No audio context')
+    }
+  }, [audioCtx, currentTime])
+
+  const pause = useCallback(() => {
+    if (audioCtx != null) {
+      pauseFile()
+    }
+  }, [audioCtx])
+
+  const handleSliderChange = useCallback((value: number) => {
+    setScrubbing(true)
+    setCurrentTime(value)
+    setPlayTime(Date.now() - (value * 1000))
+    console.log('handleSliderChange', value, playing)
+    if (settings.scrubberPreview) {
+      scrubFile(value, playing, settings.scrubberPreviewSize)
+    }
+  }, [playing, settings.scrubberPreview, settings.scrubberPreviewSize, scrubFile])
+
+  useInterval(() => {
+    if (playing && !scrubbing && buffer !== undefined) {
+      const newCurrentTime = (Date.now() - playTime) / 1000
+      setCurrentTime(newCurrentTime)
+      const duration = buffer.duration
+      if (duration !== undefined && newCurrentTime >= duration) {
+        pause()
+        scrubFile(0, playing, 0)
+        setCurrentTime(0)
+      }
+    }
+  }, 100)
+
+  if (file == null) {
+    return <></>
+  }
+
+  return (
+    <Group dir="row" sx={{
+      padding: '2em 1em',
+      width: '100%',
+      flexWrap: 'nowrap',
+      maxWidth: '98vw',
+      alignItems: 'center',
+      justifyContent: 'center'
+    }}>
+      {!playing && (
+        <Button color={settings.color} onClick={play}><IconPlayerPlay /></Button>
+      )}
+      {playing && (
+        <Button color={settings.color} onClick={pause}><IconPlayerPause /></Button>
+      )}
+      {/* (file != null) && (
+        <Slider
+          value={currentTime}
+          min={0}
+          step={0.01}
+          thumbSize={20}
+          sx={{
+            flexGrow: 2
+          }}
+          color={settings.color}
+          labelAlwaysOn
+          onChange={(number) => { handleSliderChange(number) }}
+          onChangeEnd={() => {
+            setScrubbing(false)
+            if (playing) {
+              play()
+            }
+          }}
+          label={valueLabelFormat}
+          max={buffer?.duration ?? 0}
+        />
+        ) */}
+      <AudioScrubber currentTime={currentTime} onScrub={handleSliderChange} />
+    </Group>
+  )
+}
diff --git a/src/components/AudioDropzone.tsx b/src/components/AudioDropzone.tsx
new file mode 100644
index 0000000..78a9dbd
--- /dev/null
+++ b/src/components/AudioDropzone.tsx
@@ -0,0 +1,86 @@
+import {
+  Group,
+  Text
+} from '@mantine/core'
+import { Dropzone } from '@mantine/dropzone'
+import {
+  IconFileMusic,
+  IconUpload,
+  IconX
+} from '@tabler/icons'
+
+interface AudioDropzoneProps {
+  onFile: (file: File) => void
+  openRef: React.RefObject<() => void>
+}
+
+export function AudioDropzone (props: AudioDropzoneProps): JSX.Element {
+  const { onFile, openRef } = props
+
+  return (
+    <Dropzone.FullScreen
+      openRef={openRef}
+      multiple={false}
+      accept={[
+        'audio/x-mp3',
+        'audio/mpeg',
+        'audio/mp3',
+        'audio/x-m4a',
+        'audio/aac',
+        'audio/wav',
+        'audio/x-wav',
+        'audio/webm',
+        'audio/ogg',
+        'audio/x-ogg',
+        'audio/opus',
+        'audio/x-opus'
+      ]}
+      onDrop={(files) => {
+        console.log(files)
+        onFile(files[0])
+      }}
+      sx={{
+        backgroundColor: 'rgba(0, 0, 0, 0.5)',
+        '.mantine-Dropzone-root': {
+          '&:hover': {
+            backgroundColor: 'rgba(126, 126, 126, 0.5)'
+          },
+          '&[data-accept]': {
+            backgroundColor: 'rgba(0, 64, 126, 0.5)'
+          },
+          '&[data-reject]': {
+            backgroundColor: 'rgba(255, 0, 0, 0.5)'
+          },
+          '&[data-idle]': {
+            backgroundColor: 'rgba(0, 0, 0, 0.5)'
+          }
+        }
+
+      }}
+    >
+      <Group position="center" spacing="xl" style={{ minHeight: 220, pointerEvents: 'none' }}>
+        <Dropzone.Accept>
+          <IconUpload
+            size={50}
+            stroke={1.5}
+          />
+        </Dropzone.Accept>
+        <Dropzone.Reject>
+          <IconX
+            size={50}
+            stroke={1.5}
+          />
+        </Dropzone.Reject>
+        <Dropzone.Idle>
+          <IconFileMusic size={50} stroke={1.5} />
+        </Dropzone.Idle>
+
+        <div>
+          <Text size="xl" inline>
+            Drag images here or click to select files
+          </Text>
+        </div>
+      </Group>
+    </Dropzone.FullScreen>
+  )
+}
diff --git a/src/components/AudioRecorder.tsx b/src/components/AudioRecorder.tsx
new file mode 100644
index 0000000..3b7129b
--- /dev/null
+++ b/src/components/AudioRecorder.tsx
@@ -0,0 +1,127 @@
+import { useState, useCallback, useRef, useEffect } from 'react'
+
+import {
+  Button,
+  Group,
+  Tooltip
+} from '@mantine/core'
+import {
+  IconPlayerRecord,
+  IconPlayerStop
+} from '@tabler/icons'
+
+import {
+  useInputAudio,
+  useMediaStream
+} from '../contexts'
+
+import * as Lame from 'lamejstmp'
+
+export const AudioRecorder = (): JSX.Element => {
+  const { file, loadFile } = useInputAudio()
+  const { stream, stop } = useMediaStream()
+  const [isRecording, setIsRecording] = useState(false)
+  const [recordingSavable, setRecordingSavable] = useState(false)
+
+  const chunks = useRef<Int16Array>();
+  const mediaRecorder = useRef<MediaRecorder>();
+
+  const handleStartRecording = useCallback(() => {
+    if (!stream) {
+      return () => {};
+    }
+
+    setIsRecording(true);
+    // chunks.current = [];
+    mediaRecorder.current = new MediaRecorder(stream);
+
+    mediaRecorder.current.addEventListener('dataavailable', (event) => {
+      chunks.current = new Int16Array(event.data);
+      setRecordingSavable(true);
+    });
+
+    mediaRecorder.current.start();
+
+    return handleStopRecording;
+  }, [stream]);
+
+  const handleStopRecording = useCallback(() => {
+    if (!stream || !mediaRecorder.current) {
+      return;
+    }
+    mediaRecorder.current.stop();
+    setIsRecording(false);
+
+  }, [stream, setRecordingSavable]);
+
+  useEffect(() => {
+    if (!recordingSavable) {
+      return;
+    }
+    stop();
+    console.log(chunks.current)
+
+    // Convert the recorded audio to MP3 using LameJS
+    const sampleRate = 48000;
+    const numChannels = 1;
+    const gain = 100;
+
+    const encoder = new Lame.Mp3Encoder(numChannels, sampleRate, 128);
+    const mp3Data = [];
+
+    const mp3buf = encoder.encodeBuffer(chunks.current);
+
+    mp3Data.push(mp3buf);
+
+    // Get end part of mp3
+   const mp3Tmp = encoder.flush();
+
+    // Write last data to the output data, too
+    // mp3Data contains now the complete mp3Data
+    mp3Data.push(mp3Tmp);
+
+    const mp3Blob = new Blob(mp3Data, { type: 'audio/mp3' });
+    const mp3File = new File([mp3Blob], 'recording.mp3', { type: 'audio/mp3' });
+    loadFile(mp3File);
+
+    // Download the MP3 file
+    const mp3Url = URL.createObjectURL(mp3Blob);
+    const mp3Link = document.createElement('a');
+    mp3Link.href = mp3Url;
+    mp3Link.download = 'recording.mp3';
+    document.body.appendChild(mp3Link);
+    mp3Link.click();
+    document.body.removeChild(mp3Link);
+
+    chunks.current = [];
+    setRecordingSavable(false);
+  }, [recordingSavable]);
+
+  if (file != null) {
+    return <></>
+  }
+  
+  return (
+    <Group dir="row" sx={{
+      padding: '2em 1em',
+      width: '100%',
+      maxWidth: '98vw',
+      alignItems: 'center',
+      justifyContent: 'center'
+    }}>
+      {(file == null) && (stream != null) && (
+      <Tooltip label={isRecording ? 'Stop Recording' : 'Start Recording'}>
+        <Button color="red" variant={isRecording ? 'outline' : 'filled'} onClick={() => {
+          if (isRecording) {
+            handleStopRecording();
+          } else {
+            handleStartRecording();
+          }
+        }}>
+          {isRecording ? <IconPlayerStop /> : <IconPlayerRecord /> }
+        </Button>
+      </Tooltip>
+      )}
+    </Group>
+  )
+}
diff --git a/src/components/AudioScrubber.tsx b/src/components/AudioScrubber.tsx
new file mode 100644
index 0000000..c0015b2
--- /dev/null
+++ b/src/components/AudioScrubber.tsx
@@ -0,0 +1,162 @@
+/**
+ * A canvas based audio scrubber that visualizes the context buffer underneath the track
+ */
+
+import React, {
+  useEffect,
+  useRef
+} from 'react'
+
+import { useMantineTheme } from '@mantine/core'
+
+import { useInputAudio } from '../contexts/InputAudioContext'
+import { useSettingsStore } from '../store'
+
+interface AudioScrubberProps {
+  currentTime: number
+  onScrub: (time: number) => void
+}
+
+export const AudioScrubber = (props: AudioScrubberProps): JSX.Element => {
+  const { currentTime, onScrub } = props
+  const { buffer, file, scrubFile, playing } = useInputAudio()
+  const canvasRef = useRef<HTMLCanvasElement>(null)
+  const { settings } = useSettingsStore()
+  const { colors } = useMantineTheme()
+
+  useEffect(() => {
+    if (canvasRef.current == null) {
+      return
+    }
+    let raf = 0
+    let mousePositionX = 0
+    let timePositionX = 0
+    const draw = (): void => {
+      if (canvasRef.current != null && buffer != null) {
+      // Get the audio data from the AudioBuffer
+        const audioData = buffer.getChannelData(0)
+
+        // Get the canvas context
+        const canvas = canvasRef.current
+        const ctx = canvas.getContext('2d')
+        if (ctx == null) {
+          return
+        }
+        // Clear the canvas
+        ctx.clearRect(0, 0, canvas.width, canvas.height)
+
+        // Set the canvas fill color
+        ctx.fillStyle = '#000'
+
+        // Set the line width
+        ctx.lineWidth = 2
+
+        // Set the line cap
+        ctx.lineCap = 'round'
+
+        if (mousePositionX !== 0) {
+        // Begin a new path for the line where the mouse is hovered
+          ctx.beginPath()
+          ctx.strokeStyle = colors.gray[5]
+          ctx.moveTo(mousePositionX, 0)
+          ctx.lineTo(mousePositionX, canvas.height)
+          ctx.stroke()
+        }
+
+        timePositionX = (currentTime / buffer.duration) * canvas.width
+
+        // Iterate over the audio data
+        // smooth the audio data so no more than 4800 lines are drawn
+        const smooth = Math.ceil(audioData.length / 2400)
+        for (let i = 0; i < audioData.length; i += smooth) {
+          ctx.beginPath()
+          // Get the value of the audio data
+          const value = audioData[i]
+
+          // Calculate the x position of the line
+          const x = i * (canvas.width / audioData.length)
+
+          if (mousePositionX < timePositionX) {
+            ctx.strokeStyle = x < mousePositionX
+              ? colors[settings.color][3]
+              : x < timePositionX
+                ? colors[settings.color][6]
+                : '#fff'
+          } else {
+            ctx.strokeStyle = x < timePositionX
+              ? colors[settings.color][6]
+              : x < mousePositionX
+                ? colors[settings.color][3]
+                : '#fff'
+          }
+
+          // Calculate the y position of the line
+          const y = (canvas.height / 2) + (value * canvas.height)
+          ctx.moveTo(x, canvas.height / 2)
+          // Draw the line
+          ctx.lineTo(x, y)
+          ctx.stroke()
+        }
+      }
+    }
+    let mouseDown = false
+    // function for scrubbing when clicking the mouse
+    function scrub (event: MouseEvent): void {
+      mouseDown = true
+      if (canvasRef.current == null || buffer == null) {
+        return
+      }
+      const rect = canvasRef.current.getBoundingClientRect()
+      const x = (event.clientX - rect.left) * canvasRef.current.width / rect.width
+      const time = x * buffer.duration / canvasRef.current.width
+      onScrub(time)
+    }
+
+    function updateMousePosition (event: MouseEvent): void {
+      if (canvasRef.current == null) {
+        return
+      }
+      const rect = canvasRef.current.getBoundingClientRect()
+      mousePositionX = (event.clientX - rect.left) * canvasRef.current.width / rect.width
+      if (mouseDown) {
+        scrub(event)
+      }
+      requestAnimationFrame(draw)
+    }
+
+    function clearMousePosition (): void {
+      mousePositionX = 0
+      mouseDown = false
+      requestAnimationFrame(draw)
+    }
+    function clearMouseDown (): void {
+      mouseDown = false
+    }
+    canvasRef.current.addEventListener('mousemove', updateMousePosition)
+    canvasRef.current.addEventListener('mouseenter', updateMousePosition)
+    canvasRef.current.addEventListener('mouseleave', clearMousePosition)
+    canvasRef.current.addEventListener('mousedown', scrub)
+    canvasRef.current.addEventListener('mouseup', clearMouseDown)
+
+    raf = requestAnimationFrame(draw)
+    return () => {
+      cancelAnimationFrame(raf)
+      if (canvasRef.current == null) {
+        return
+      }
+      canvasRef.current.removeEventListener('mousemove', updateMousePosition)
+      canvasRef.current.removeEventListener('mouseenter', updateMousePosition)
+      canvasRef.current.removeEventListener('mouseleave', clearMousePosition)
+      canvasRef.current.removeEventListener('mousedown', scrub)
+      canvasRef.current.removeEventListener('mouseup', clearMouseDown)
+    }
+  }, [file, buffer, settings.color, currentTime, playing, onScrub])
+
+  return (
+    <canvas className="scrubber-background" width="1200" height="100" style={{
+      maxWidth: '85%',
+      display: 'flex',
+      flexShrink: 3
+    }} ref={canvasRef} />
+  )
+}
diff --git a/src/components/GenderPrediction.tsx b/src/components/GenderPrediction.tsx
index 7880ece..43fef01 100644
--- a/src/components/GenderPrediction.tsx
+++ b/src/components/GenderPrediction.tsx
@@ -1,163 +1,106 @@
-import { useModel } from 'react-tensorflow'
-import { useState, useEffect } from 'react';
-import { Text, Box, Button, Grid } from '@mantine/core';
-import * as tf from '@tensorflow/tfjs';
-import { useAudioAnalyser } from '../contexts/AudioAnalyserContext'
-import useInterval from '../utils/useInterval';
-
-export default function GenderPrediction() {
-    const model = useModel({ modelUrl: `http://localhost:3000/model/model.json`, layers: true });
-    const { analyser } = useAudioAnalyser();
-
-    const [prediction, setPrediction] = useState<number>(0.50);
-    const [predictionHistory, setPredictionHistory] = useState<number[]>([]);
-
-    // const [lastFrequency, setLastFrequency] = useState<Number[]>([]);
-    const [ averagedFrequencies, setAveragedFrequencies ] = useState<number[][]>([]); 
-    const [ resetAverages, setResetAverages ] = useState<boolean>(false);
-    const [ predictionCount, setPredictionCount ] = useState<number>(0);
-
-    const addFrequency = (frequencies: number[]) => {
-        setAveragedFrequencies([...averagedFrequencies, frequencies]);
-    };
-
-    const addPrediction = (prediction: number) => {
-        setPredictionHistory((prev) => {
-            const newPredictionHistory = [...prev, prediction];
-            if(newPredictionHistory.length > 100) {
-                newPredictionHistory.shift();
-            }
-            return newPredictionHistory;
-        });
-    };
-
-    const clearAverageFrequencies = () => {
-        setAveragedFrequencies([]);
-        setResetAverages(true);
-    };
-
-    const purgePredictionHistory = (by: number) => {
-        setPredictionHistory((prev) => {
-            const newPredictionHistory = [...prev];
-            newPredictionHistory.splice(0, by);
-            return newPredictionHistory;
-        });
-    };
-
-
-    useEffect(() => {
-        if (!analyser) {
-            return;
-        }
-
-        let raf: number;
-
-        const data = new Uint8Array(analyser.frequencyBinCount);
-
-        const draw = () => {
-            raf = requestAnimationFrame(draw);
-            analyser.getByteFrequencyData(data);
-
-            // convert frequencies from 1024 length float32 to 128 length float32
-            let maxFreq = 0;
-            const convertedFrequencies:number[] = [];
-            /*for (let i = 0; i < 128; i++) {
-                const start = i * 8;
-                const end = start + 8;
-                const avg = data.slice(start, end).reduce((a, b) => a + b) / 8;
-                // convert avg to 0 - 10 from -100 - -10
-                const min = 0;
-                const max = 256;
-                const converted = (avg - min) / (max - min) * 10;
-                convertedFrequencies.push(converted);
-                if (converted > maxFreq) {
-                    maxFreq = converted;
-                }
-            }*/
-            for (let i = 0; i < 128; i++) {
-                const converted = (data[i] / 256) * 10;
-                convertedFrequencies.push(converted);
-            }
-
-            if (resetAverages) {
-                setResetAverages(false);
-                return;
-            }
-
-            // Get current frame frequencies and average them with previous frames
-            //if (maxFreq) {
-                addFrequency(convertedFrequencies);
-                // setLastFrequency(convertedFrequencies);
-            //}
-        };
-
-        draw();
-
-        return () => {
-            cancelAnimationFrame(raf);
-        }
-    }, [analyser]);
-
-    useInterval(async () => {
-        if (averagedFrequencies && model && analyser) {
-            const tensorData = tf.tensor2d(averagedFrequencies).mean(0).reshape([1, 128]);
-            console.log(tensorData.dataSync());
-            const prediction = model.predict(tensorData) as tf.Tensor<tf.Rank>;
-            setPrediction(prediction.dataSync()[0]);
-            addPrediction(prediction.dataSync()[0]);
-            setPredictionCount(predictionCount + 1);
-            if (predictionCount % 4 === 0) {
-                setAveragedFrequencies(averagedFrequencies.slice(averagedFrequencies.length / 2));
-            }
-            //clearAverageFrequencies();
-        } else {
-            clearAverageFrequencies();
-            setPrediction(0.5);
-        }
-    }, 2000);
-        
-    if (!analyser || !model || prediction === 0.5) {
-        return null;
+import {
+  useCallback,
+  useEffect,
+  useState
+} from 'react'
+
+import {
+  Box,
+  Button,
+  Grid,
+  Text
+} from '@mantine/core'
+
+import { useRealtimePrediction } from '~/utils/useRealtimePrediction'
+
+import { useSettingsStore } from '~/store';
+
+export function GenderPrediction (): JSX.Element | null {
+  const [prediction, setPrediction] = useState<number>(0.5);
+  const [predictionHistory, setPredictionHistory] = useState<number[]>([]);
+  const { settings } = useSettingsStore();
+
+  const addPrediction = useCallback(
+    (prediction: number) => {
+      const newPredictionHistory = [prediction, ...predictionHistory];
+      if (newPredictionHistory.length > 125) {
+        newPredictionHistory.pop();
+      }
+      setPredictionHistory(newPredictionHistory);
+      return newPredictionHistory;
+    },
+    [predictionHistory]
+  );
+
+  const { model, clearBuffer } = useRealtimePrediction({
+    predictCallback: (prediction: number) => {
+      setPrediction(prediction)
+      if (!predictionHistory.includes(prediction)) {
+        addPrediction(prediction)
+      }
     }
-
-    return (
-        <div className='prediction'>
-            <Text className='percent'>{prediction > 0.5 ? (prediction * 100).toFixed(2) : (100 - prediction * 100).toFixed(2)}%</Text>
-            <Text className='gender' sx={{
-                color: prediction > 0.5 ? '#ff6c85' : '#3f8cff'
-            }}>{prediction > 0.5 ? 'Female' : 'Male'}</Text>
-            <Box className='container' sx={{
-                width: '100%',
-                margin: '2em 0',
-                height: '20vh',
-                background: 'linear-gradient(90deg, #3f8cff 0%, #ffffff 50%, #ff6c85 100%)',
-            }}>
-                <Box className='handle' sx={{
-                    position: 'absolute',
-                    width: '2%',
-                    transition: 'left 0.3s ease-in-out',
-                    height: '20vh',
-                    background: 'rgba(0, 0, 0, 0.5)',
-                    left: `calc(${prediction * 100}% - 1%)`,
-                }} />
-                {predictionHistory.map((p, i) => (
-                    <Box key={i} className='past-prediction' sx={{
-                        position: 'absolute',
-                        width: '2px',
-                        height: '20vh',
-                        background: 'rgba(0, 0, 0, 0.5)',
-                        left: `${p * 100}%`
-                    }} />
-                ))}
-            </Box>
-            <Grid>
-                <Grid.Col span={6}>
-                    <Button onClick={clearAverageFrequencies}>Clear Average</Button>
-                </Grid.Col>
-                <Grid.Col span={6}>
-                    <Button color="pink" onClick={() => purgePredictionHistory(10)}>Purge History</Button>
-                </Grid.Col>
-            </Grid>
+  })
+
+  const purgePredictionHistory = useCallback((numberToRemove: number) => {
+    const newPredictionHistory = predictionHistory.slice(0, numberToRemove);
+    setPredictionHistory(newPredictionHistory);
+  }, [predictionHistory]);
+
+  return (
+    <div className='prediction'>
+      {model == null && (
+        <div className='loading'>
+          <Text className='loading-text'>Loading model...</Text>
         </div>
-    );
+      )}
+      {(model != null) && prediction !== 0.5 && (
+        <>
+          <Grid>
+            <Grid.Col span={6}>
+              <Button color="blue" onClick={() => clearBuffer()}>Clear Buffer</Button>
+            </Grid.Col>
+            <Grid.Col span={6}>
+              <Button color="pink" onClick={() => { purgePredictionHistory(10) }}>Purge History</Button>
+            </Grid.Col>
+          </Grid>
+          <Text className='percent'>
+            {prediction > 0.5 ? (prediction * 100).toFixed(2) : (100 - prediction * 100).toFixed(2)}%
+          </Text>
+          <Text className='gender' sx={{
+            color: prediction > 0.62 ? '#ff6c85' : prediction < 0.38 ? '#3f8cff' : 'white'
+          }}>
+            {prediction > 0.62 && 'Female'}
+            {prediction < 0.38 && 'Male'}
+            {prediction > 0.38 && prediction < 0.62 && 'Neutral'}
+          </Text>
+          <Box className='container' sx={{
+            width: '100%',
+            margin: '2em 0',
+            height: '20vh',
+            background: 'linear-gradient(90deg, #3f8cff 10%, #ffffff 50%, #ff6c85 90%)'
+          }}>
+            <Box className='handle' sx={{
+              position: 'absolute',
+              width: '2%',
+              transition: 'left 0.3s ease-in-out',
+              height: '20vh',
+              background: 'rgba(0, 0, 0, 0.5)',
+              left: `calc(${prediction * 100}% - 1%)`
+            }} />
+            {predictionHistory.map((p) => (
+              p !== 0
+                ? <Box key={`prediction-${p}`} className='past-prediction' sx={{
+                  position: 'absolute',
+                  width: '2px',
+                  height: '20vh',
+                  background: 'rgba(0, 0, 0, 0.5)',
+                  left: `${p * 100}%`
+                }} />
+                : null
+            ))}
+          </Box>
+        </>
+      )}
+    </div>
+  )
 }
diff --git a/src/components/MediaVerification.tsx b/src/components/MediaVerification.tsx
index ab5a9dc..e7355ec 100644
--- a/src/components/MediaVerification.tsx
+++ b/src/components/MediaVerification.tsx
@@ -1,272 +1,273 @@
-import React, { useRef } from 'react';
+/* eslint-disable @typescript-eslint/no-unsafe-member-access */
+/* eslint-disable @typescript-eslint/no-unsafe-argument */
+import React, { useRef } from 'react'
+
+import Bowser from 'bowser'
 import {
-	Accordion,
-	Button,
-	Modal,
-	Anchor,
-	Text,
-} from '@mantine/core';
-import { BiExpand } from 'react-icons/all';
-import Bowser from 'bowser';
+  MediaPermissionsError,
+  MediaPermissionsErrorType,
+  requestMediaPermissions
+} from 'mic-check'
+import { BiExpand } from 'react-icons/all'
+
 import {
-	MediaPermissionsError,
-	MediaPermissionsErrorType,
-	requestMediaPermissions,
-} from 'mic-check';
+  Accordion,
+  Anchor,
+  Button,
+  Modal,
+  Text
+} from '@mantine/core'
 
-const browser = Bowser.getParser(window.navigator.userAgent);
+const browser = Bowser.getParser(window.navigator.userAgent)
 
 enum DialogType {
-	explanation = 'explanation',
-	systemDenied = 'systemDenied',
-	userDenied = 'userDenied',
-	trackError = 'trackError',
+  explanation = 'explanation',
+  systemDenied = 'systemDenied',
+  userDenied = 'userDenied',
+  trackError = 'trackError',
 }
 
-const MediaVerification: React.FC = () => {
-	const [showDialog, setShowDialog] = React.useState<DialogType | null>(null);
+export const MediaVerification: React.FC = () => {
+  const [showDialog, setShowDialog] = React.useState<DialogType | null>(null)
 
-	const [audioAllowed, setAudioAllowed] = React.useState<boolean>(false);
+  const [audioAllowed, setAudioAllowed] = React.useState<boolean>(false)
 
-	const [errorDetails, setErrorDetails] = React.useState<
-		MediaPermissionsError | undefined
-	>();
+  const [errorDetails, setErrorDetails] = React.useState<
+  MediaPermissionsError | undefined
+  >()
 
-	// Create wrapper refs to access values even during setTimeout
-	// https://github.com/facebook/react/issues/14010
-	const showDialogRef = useRef(showDialog);
-	showDialogRef.current = showDialog;
-	const audioAllowedRef = useRef(audioAllowed);
-	audioAllowedRef.current = audioAllowed;
+  // Create wrapper refs to access values even during setTimeout
+  // https://github.com/facebook/react/issues/14010
+  const showDialogRef = useRef(showDialog)
+  showDialogRef.current = showDialog
+  const audioAllowedRef = useRef(audioAllowed)
+  audioAllowedRef.current = audioAllowed
 
-	React.useEffect(() => {
-		checkMediaPermissions();
-	}, []);
+  React.useEffect(() => {
+    checkMediaPermissions()
+  }, [])
 
-	React.useEffect(() => {
-		console.log('audio allowed permission changed: ', audioAllowed);
-		if (audioAllowed) {
-			// set the default devices
-			// MediaManager.findMediaDevices();
-		}
-	}, [audioAllowed]);
+  React.useEffect(() => {
+    console.log('audio allowed permission changed: ', audioAllowed)
+    if (audioAllowed) {
+      // set the default devices
+      // MediaManager.findMediaDevices();
+    }
+  }, [audioAllowed])
 
-	const checkForExplanationDialog = () => {
-		if (
-			(!audioAllowedRef.current) &&
-			showDialogRef.current === null
-		)
-			setShowDialog(DialogType.explanation);
-	};
+  const checkForExplanationDialog = (): void => {
+    if (
+      (!audioAllowedRef.current) && showDialogRef.current === null
+    ) { setShowDialog(DialogType.explanation) }
+  }
 
-	const checkMediaPermissions = () => {
-		// TODO: listen to if there is a change on the audio/video piece?
+  const checkMediaPermissions = (): void => {
+    // TODO: listen to if there is a change on the audio/video piece?
 
-		requestMediaPermissions({
-            audio: true,
-            video: false,
-        })
-			.then(() => {
-				setAudioAllowed(true);
-				setShowDialog(null);
-			})
-			.catch((error: MediaPermissionsError) => {
-				console.log('MediaOnboardingDialog: ', error);
-				if (
-					error.type ===
-					MediaPermissionsErrorType.SystemPermissionDenied
-				) {
-					// user denied permission
-					setShowDialog(DialogType.systemDenied);
-				} else if (
-					error.type ===
-					MediaPermissionsErrorType.UserPermissionDenied
-				) {
-					// browser doesn't have access to devices
-					setShowDialog(DialogType.userDenied);
-				} else if (
-					error.type ===
-					MediaPermissionsErrorType.CouldNotStartVideoSource
-				) {
-					// most likely when other apps or tabs are using the cam/mic (mostly windows)
-					setShowDialog(DialogType.trackError);
-				} else {
-				}
-				setErrorDetails(error);
-			});
+    requestMediaPermissions({
+      audio: true,
+      video: false
+    })
+      .then(() => {
+        setAudioAllowed(true)
+        setShowDialog(null)
+      })
+      .catch((error: MediaPermissionsError) => {
+        console.log('MediaOnboardingDialog: ', error)
+        if (
+          error.type === MediaPermissionsErrorType.SystemPermissionDenied
+        ) {
+          // user denied permission
+          setShowDialog(DialogType.systemDenied)
+        } else if (
+          error.type === MediaPermissionsErrorType.UserPermissionDenied
+        ) {
+          // browser doesn't have access to devices
+          setShowDialog(DialogType.userDenied)
+        } else if (
+          error.type === MediaPermissionsErrorType.CouldNotStartVideoSource
+        ) {
+          // most likely when other apps or tabs are using the cam/mic (mostly windows)
+          setShowDialog(DialogType.trackError)
+        } else {
+          console.error('MediaOnboardingDialog: Unhandled error type: ', error.type)
+        }
+        setErrorDetails(error)
+      })
 
-		setTimeout(() => {
-			checkForExplanationDialog();
-		}, 500);
-	};
+    setTimeout(() => {
+      checkForExplanationDialog()
+    }, 500)
+  }
 
-	const _renderTryAgain = (text?: string) => {
-		return (
-			<div style={{ width: '100%', marginTop: 20 }}>
-				<Button
-					onClick={() => {
-						if (browser.getBrowserName() === 'Safari') {
-							// If on Safari, rechecking permissions results in glitches so just refresh the page
-							window.location.reload();
-						} else {
-							checkMediaPermissions();
-						}
-					}}
-					color="primary"
-					style={{ float: 'right' }}
-				>
-					{text ? text : 'Retry'}
-				</Button>
-			</div>
-		);
-	};
+  const _renderTryAgain = (text?: string): JSX.Element => {
+    return (
+      <div style={{ width: '100%', marginTop: 20 }}>
+        <Button
+          onClick={() => {
+            if (browser.getBrowserName() === 'Safari') {
+              // If on Safari, rechecking permissions results in glitches so just refresh the page
+              window.location.reload()
+            } else {
+              checkMediaPermissions()
+            }
+          }}
+          color="primary"
+          style={{ float: 'right' }}
+          >
+          {text ?? 'Retry'}
+        </Button>
+      </div>
+    )
+  }
 
-	const _renderErrorMessage = () => {
-		if (!errorDetails) return null;
-		return (
-			<div style={{ marginTop: 10 }}>
-				<Accordion chevron={<BiExpand />}>
-					<Accordion.Item
-						aria-controls="panel1a-content"
-						id="panel1a-header"
+  const _renderErrorMessage = (): JSX.Element | null => {
+    if (errorDetails == null) return null
+    return (
+      <div style={{ marginTop: 10 }}>
+        <Accordion chevron={<BiExpand />}>
+          <Accordion.Item
+aria-controls="panel1a-content"
+id="panel1a-header"
                         value="Error Details"
-					>
-						<Text style={{ color: 'red' }}>
-							Error Details
-						</Text>
-						<Text>
-							{errorDetails.name}: {errorDetails.message}
-						</Text>
-					</Accordion.Item>
-				</Accordion>
-			</div>
-		);
-	};
+>
+            <Text style={{ color: 'red' }}>
+              Error Details
+            </Text>
+            <Text>
+              {errorDetails.name}: {errorDetails.message}
+            </Text>
+          </Accordion.Item>
+        </Accordion>
+      </div>
+    )
+  }
 
-	const _renderExplanationDialog = () => {
-		return (
-			<div>
-				<Text component="h5">
-					Allow App to use your camera and microphone
-				</Text>
-				<Text component="span">
-					This voice analyst app needs access to your camera and microphone so the ai can hear you.
-				</Text>
-			</div>
-		);
-	};
+  const _renderExplanationDialog = (): JSX.Element => {
+    return (
+      <div>
+        <Text component="h5">
+          Allow App to use your camera and microphone
+        </Text>
+        <Text component="span">
+          This voice analyst app needs access to your camera and microphone so the ai can hear you.
+        </Text>
+      </div>
+    )
+  }
 
-	const _renderUserDeniedDialog = () => {
-		return (
-			<div>
-				<Text component="h5">
-					Microphone are blocked
-				</Text>
-				<Text>
-					App requires access to your microphone.{' '}
-					{browser.getBrowserName() !== 'Safari' && (
-						<Text>
-							Click the camera blocked icon{' '}
-							<img
-								alt="icon"
-								src={
-									'https://www.gstatic.com/meet/ic_blocked_camera_dark_f401bc8ec538ede48315b75286c1511b.svg'
-								}
-								style={{ display: 'inline' }}
-							/>{' '}
-							in your browser's address bar.
-						</Text>
-					)}
-				</Text>
-				{_renderErrorMessage()}
-				{_renderTryAgain()}
-			</div>
-		);
-	};
+  const _renderUserDeniedDialog = (): JSX.Element => {
+    return (
+      <div>
+        <Text component="h5">
+          Microphone are blocked
+        </Text>
+        <Text>
+          App requires access to your microphone.{' '}
+          {browser.getBrowserName() !== 'Safari' && (
+          <Text>
+            Click the camera blocked icon{' '}
+            <img
+                alt="icon"
+                src={
+                  'https://www.gstatic.com/meet/ic_blocked_camera_dark_f401bc8ec538ede48315b75286c1511b.svg'
+                }
+                style={{ display: 'inline' }}
+              />{' '}
+            in your browser&apos;s address bar.
+          </Text>
+          )}
+        </Text>
+        {_renderErrorMessage()}
+        {_renderTryAgain()}
+      </div>
+    )
+  }
 
-	const _renderSystemDeniedDialog = () => {
-		const settingsDataByOS = {
-			macOS: {
-				name: 'System Preferences',
-				link: 'x-apple.systempreferences:com.apple.preference.security?Privacy_Camera',
-			},
-		};
+  const _renderSystemDeniedDialog = (): JSX.Element => {
+    const settingsDataByOS = {
+      macOS: {
+        name: 'System Preferences',
+        link: 'x-apple.systempreferences:com.apple.preference.security?Privacy_Camera'
+      }
+    }
 
-		return (
-			<div>
-				<Text component="h5">
-					Can't use your microphone
-				</Text>
-				<Text>
-					Your browser might not have access to your
-					microphone. To fix this problem, open{' '}
-					{
-						// @ts-ignore
-						settingsDataByOS[browser.getOSName()] ? (
-							<Anchor
-								onClick={() => {
-									window.open(
-										// @ts-ignore
-										settingsDataByOS[browser.getOSName()]
-											.link,
-										'_blank',
-									);
-								}}
-							>
-								{
-									// @ts-ignore
-									settingsDataByOS[browser.getOSName()].name
-								}
-							</Anchor>
-						) : (
-							'Settings'
-						)
-					}
-					.
-				</Text>
-				{_renderErrorMessage()}
-				{_renderTryAgain()}
-			</div>
-		);
-	};
+    return (
+      <div>
+        <Text component="h5">
+          Can&apos;t use your microphone
+        </Text>
+        <Text>
+          Your browser might not have access to your
+          microphone. To fix this problem, open{' '}
+          {
+            // @ts-expect-error - browser.getOSName() is not a key of settingsDataByOS
+            settingsDataByOS[browser.getOSName()] !== null
+              ? (
+                <Anchor
+                onClick={() => {
+                  window.open(
+                    // @ts-expect-error - browser.getOSName() is not a key of settingsDataByOS
+                    settingsDataByOS[browser.getOSName()].link,
+                    '_blank'
+                  )
+                }}
+              >
+                  {
+                  // @ts-expect-error - browser.getOSName() is not a key of settingsDataByOS
+                  settingsDataByOS[browser.getOSName()].name
+                }
+                </Anchor>
+                )
+              : (
+                  'Settings'
+                )
+          }
+          .
+        </Text>
+        {_renderErrorMessage()}
+        {_renderTryAgain()}
+      </div>
+    )
+  }
 
-	const _renderTrackErrorDialog = () => {
-		return (
-			<div>
-				<Text component="h5">
-					Can't start your microphone
-				</Text>
-				<Text>
-					Another application (Zoom, Webex) or browser tab (Google
-					Meet, Messenger Video) might already be using your webcam.
-					Please turn off other cameras before proceeding.
-				</Text>
-				{_renderErrorMessage()}
-				{_renderTryAgain()}
-			</div>
-		);
-	};
+  const _renderTrackErrorDialog = (): JSX.Element => {
+    return (
+      <div>
+        <Text component="h5">
+          Can&apos;t start your microphone
+        </Text>
+        <Text>
+          Another application (Zoom, Webex) or browser tab (Google
+          Meet, Messenger Video) might already be using your webcam.
+          Please turn off other cameras before proceeding.
+        </Text>
+        {_renderErrorMessage()}
+        {_renderTryAgain()}
+      </div>
+    )
+  }
 
-	const _renderDialogContent = () => {
-		switch (showDialog) {
-			case DialogType.explanation:
-				return _renderExplanationDialog();
-			case DialogType.systemDenied:
-				return _renderSystemDeniedDialog();
-			case DialogType.userDenied:
-				return _renderUserDeniedDialog();
-			case DialogType.trackError:
-				return _renderTrackErrorDialog();
-		}
-	};
-	return (
-		<Modal opened={!!showDialog} closeOnClickOutside={false} onClose={() => {
-            setShowDialog(null);
-        }}>
-			{showDialog && _renderDialogContent()}
-            {_renderTryAgain()}
-		</Modal>
-	);
-};
-
-export default MediaVerification;
\ No newline at end of file
+  const _renderDialogContent = (): JSX.Element | null => {
+    switch (showDialog) {
+      case DialogType.explanation:
+        return _renderExplanationDialog()
+      case DialogType.systemDenied:
+        return _renderSystemDeniedDialog()
+      case DialogType.userDenied:
+        return _renderUserDeniedDialog()
+      case DialogType.trackError:
+        return _renderTrackErrorDialog()
+      default:
+        return null
+    }
+  }
+  return (
+    <Modal opened={showDialog !== null} closeOnClickOutside={false} onClose={() => {
+      setShowDialog(null)
+    }}>
+      {showDialog !== null && _renderDialogContent()}
+      {_renderTryAgain()}
+    </Modal>
+  )
+}
diff --git a/src/components/Note.tsx b/src/components/Note.tsx
index e77fe3e..83824fc 100644
--- a/src/components/Note.tsx
+++ b/src/components/Note.tsx
@@ -1,53 +1,65 @@
-import {FC, useState, useEffect } from "react";
-import { Text } from '@mantine/core';
+import React, { FC, useEffect, useState, useRef } from 'react';
 import { useAudioAnalyser } from '../contexts/AudioAnalyserContext';
-import { calculateFrequency, calculateNote, toDecimals } from "../utils/sound";
-
-const Note: FC = () => {
-    const { analyser } = useAudioAnalyser();
-    const [lastFrequency, setLastFrequency] = useState("");
-    const [note, setNote] = useState("");
-  
-    useEffect(() => {
-      if (!analyser) {
-        return;
-      }
-      
-      let raf: number;
+import { useSettingsStore } from '../store';
+import { calculateFrequency, toDecimals } from '../utils/sound';
 
-      const data = new Float32Array(analyser.frequencyBinCount);
+export const Note: FC = () => {
+  const { analyser, meyda } = useAudioAnalyser();
+  const canvasRef = useRef<HTMLCanvasElement>(null);
+  const { settings } = useSettingsStore();
+  const notes = ['C', 'C♯', 'D', 'D♯', 'E', 'F', 'F♯', 'G', 'G♯', 'A', 'A♯', 'B'];
 
-      const draw = () => {
-        raf = requestAnimationFrame(draw);
-        analyser.getFloatFrequencyData(data);
+  const drawBarChart = (ctx: CanvasRenderingContext2D, chroma: number[]) => {
+    ctx.clearRect(0, 0, ctx.canvas.width, ctx.canvas.height);
+    const barWidth = ctx.canvas.width / chroma.length;
+    const maxValue = Math.max(...chroma);
+    const maxIndex = chroma.indexOf(maxValue);
+    const heightScale = ctx.canvas.height / maxValue;
 
-        const frequency = calculateFrequency(data);
+    chroma.forEach((value, index) => {
+      const x = barWidth * index;
+      const y = ctx.canvas.height - value * heightScale;
+      const height = value * heightScale;
+      ctx.fillStyle = index === maxIndex ? settings.color : 'white';
+      ctx.fillRect(x, y, barWidth - 2, height);
+      ctx.fillStyle = 'black';
+      ctx.font = '36px Arial';
+      ctx.fillText(notes[index], (x + barWidth / 2) - 12, ctx.canvas.height - 5);
+    });
+  };
 
-        if (frequency && frequency < 1100) {
+  useEffect(() => {
+    if (analyser == undefined || meyda == undefined || !settings.showNote) {
+      return;
+    }
+    const ctx = canvasRef.current!.getContext('2d')!;
+    let raf = 0;
 
-          setNote(calculateNote(frequency) || "");
+    const draw = () => {
+      requestAnimationFrame(draw);
 
-          setLastFrequency(toDecimals(frequency, 1));
+      const chromaFeatures = meyda.get(['chroma']);
+      if (chromaFeatures != null && chromaFeatures.chroma != null) {
+        drawBarChart(ctx, chromaFeatures.chroma);
+      }
+    };
 
-        }
-      };
-      draw();
+    raf = requestAnimationFrame(draw);
+    return () => {
+      cancelAnimationFrame(raf);
+    };
+  }, [analyser, settings.showNote, settings.color]);
 
-      return () => {
-        cancelAnimationFrame(raf);
-      }
-  
-    }, [analyser]);
+  if (analyser == null || !settings.showNote) {
+    return null;
+  }
 
-    if (!analyser || !note || note === 'undefined-Infinity') {
-        return null;
-    }
-    return (
-      <>
-        <Text className="note">{note}</Text>
-        <Text className="frequency">{lastFrequency} Hz</Text>
-      </>
-    );
+  return (
+    <div>
+      <canvas ref={canvasRef} width="1200" height="200" style={{
+        maxWidth: '98vw',
+        transform: 'scale(0.5)',
+      }}></canvas>
+    </div>
+  );
 };
-
-export default Note;
\ No newline at end of file
diff --git a/src/components/Settings.tsx b/src/components/Settings.tsx
new file mode 100644
index 0000000..1357107
--- /dev/null
+++ b/src/components/Settings.tsx
@@ -0,0 +1,151 @@
+import { useState } from 'react'
+
+import {
+  Button,
+  Divider,
+  Modal,
+  SegmentedControl,
+  Slider,
+  Stack,
+  Switch,
+  Text
+} from '@mantine/core'
+import { IconSettings } from '@tabler/icons'
+
+import {
+  SettingsInterface,
+  useSettingsStore
+} from '../store'
+
+export const Settings: React.FC = () => {
+  const { settings, setSettings, resetSettings } = useSettingsStore()
+
+  const [showDialog, setShowDialog] = useState(false)
+
+  const handleSettingsChange = (key: keyof SettingsInterface, value: string | number | boolean): void => {
+    const newSetting: Partial<SettingsInterface> = { [key]: value }
+    setSettings(newSetting)
+  }
+
+  const valueLabelFormat = (value: number): string => {
+    return `${value.toFixed(1)}s`
+  }
+
+  const valueLabelFormatMS = (value: number): string => {
+    return `${value.toFixed(1)}ms`
+  }
+
+  return (
+    <>
+      <Button
+        variant="subtle"
+        color="gray"
+        onClick={() => { setShowDialog(true) }}
+        style={{ position: 'absolute', top: '5px', right: '5px' }}
+      >
+        <IconSettings />
+      </Button>
+      <Modal
+        title={(<Text sx={{
+          display: 'flex',
+          alignItems: 'center',
+          gap: '5px'
+        }}><IconSettings /> Settings</Text>)}
+        opened={showDialog}
+        onClose={() => { setShowDialog(false) }}
+        size="sm"
+        centered
+      >
+        <Stack spacing="xs" align="stretch">
+          <Text>Color</Text>
+          <SegmentedControl
+            value={settings.color}
+            onChange={(value) => {
+              handleSettingsChange('color', value)
+            }}
+            data={[
+              { label: 'Blue', value: 'blue' },
+              { label: 'Green', value: 'green' },
+              { label: 'Gold', value: 'yellow' },
+              { label: 'Purple', value: 'violet' },
+              { label: 'Pink', value: 'pink' }
+            ]}
+          />
+          <Divider />
+          <Text>Scrubber Preview</Text>
+          <Switch
+            label={settings.scrubberPreview ? 'Will preview the audio loaded' : 'Scrubber will be quiet'}
+            checked={settings.scrubberPreview}
+            color={settings.color}
+            onChange={(value) => {
+              handleSettingsChange('scrubberPreview', value.target.checked)
+            }}
+          />
+          <Divider />
+          {settings.scrubberPreview && (
+            <>
+              <Text>Scrubber Preview Duration</Text>
+              <Slider
+                value={settings.scrubberPreviewSize}
+                color={settings.color}
+                min={0.1}
+                max={2}
+                step={0.1}
+                label={valueLabelFormat}
+                onChange={(value) => {
+                  handleSettingsChange('scrubberPreviewSize', value)
+                }}
+              />
+              <Divider />
+            </>
+          )}
+          <Text>Show Note</Text>
+          <Switch
+            label={settings.showNote ? 'Will show note and frequency (Hz)' : 'Off'}
+            checked={settings.showNote}
+            color={settings.color}
+            onChange={(value) => {
+              handleSettingsChange('showNote', value.target.checked)
+            }}
+          />
+          <Divider />
+          <Text>Prediction Buffer</Text>
+          <Slider
+            value={settings.predictionBuffer}
+            color={settings.color}
+            min={64}
+            max={512}
+            step={64}
+            onChange={(value) => {
+              handleSettingsChange('predictionBuffer', value)
+            }}
+          />
+          <Divider />
+          <Text>Prediction Interval</Text>
+          <Slider
+            value={settings.predictionInterval}
+            color={settings.color}
+            min={400}
+            max={5000}
+            step={100}
+            onChange={(value) => {
+              handleSettingsChange('predictionInterval', value)
+            }}
+            label={valueLabelFormatMS}
+          />
+
+          <Divider />
+          <Button
+            variant="outline"
+            color={settings.color}
+            onClick={() => {
+              resetSettings()
+            }}
+          >
+            Reset Settings
+          </Button>
+        </Stack>
+      </Modal>
+    </>
+  )
+}
diff --git a/src/components/index.ts b/src/components/index.ts
new file mode 100644
index 0000000..08d4411
--- /dev/null
+++ b/src/components/index.ts
@@ -0,0 +1,8 @@
+export * from './Analyze'
+export * from './AudioDropzone'
+export * from './MediaVerification'
+export * from './Note'
+export * from './GenderPrediction'
+export * from './AudioControls'
+export * from './AudioRecorder'
+export * from './Settings'
diff --git a/src/contexts/AudioAnalyserContext.tsx b/src/contexts/AudioAnalyserContext.tsx
index 100a44d..e259341 100644
--- a/src/contexts/AudioAnalyserContext.tsx
+++ b/src/contexts/AudioAnalyserContext.tsx
@@ -1,61 +1,130 @@
-import React, { createContext, FunctionComponent, useEffect, useState, useContext } from 'react';
-import { useInputAudio } from './InputAudioContext';
+import React, {
+  createContext,
+  FunctionComponent,
+  useContext,
+  useEffect,
+  useState,
+  useCallback,
+} from 'react'
+
+import Meyda from 'meyda';
+
+import { useInputAudio } from './InputAudioContext'
 
 interface AudioAnalyserContextValue {
-  analyser: AnalyserNode | undefined;
+  analyser: AnalyserNode | undefined
+  playing: boolean
+  meyda: Meyda.MeydaAnalyzer | undefined
+  subscribe: (callback: (features: Meyda.MeydaFeaturesObject) => void) => void
 }
 
 const AudioAnalyserContext = createContext<AudioAnalyserContextValue>({
   analyser: undefined,
-});
+  playing: false,
+  meyda: undefined,
+  subscribe: () => {},
+})
 
-export const useAudioAnalyser = () => useContext(AudioAnalyserContext);
+export const useAudioAnalyser = (): AudioAnalyserContextValue => useContext(AudioAnalyserContext)
 
 interface Props {
-  children: React.ReactNode;
+  children: React.ReactNode
 }
 
 export const AudioAnalyserProvider: FunctionComponent<Props> = ({ children }) => {
-  const [analyser, setAnalyser] = useState<AnalyserNode>();
-  const { source } = useInputAudio();
+  const [analyser, setAnalyser] = useState<AnalyserNode>()
+  const { source, audioCtx, playing } = useInputAudio()
+  const [meyda, setMeyda] = useState<Meyda.MeydaAnalyzer>()
+  const [callbacks, setCallbacks] = useState<((features: Meyda.MeydaFeaturesObject) => void)[]>([]);
 
   useEffect(() => {
-    if (source) {
-      const analyserNode = source.context.createAnalyser();
-      analyserNode.smoothingTimeConstant = 0.4;
-      analyserNode.maxDecibels = 0;
-      analyserNode.minDecibels = -100;
-      analyserNode.fftSize = 256;
-      source.connect(analyserNode);
-      setAnalyser(analyserNode);
+    if (audioCtx != null) {
+      const analyserNode = audioCtx.createAnalyser()
+      analyserNode.smoothingTimeConstant = 0.1
+      // analyserNode.maxDecibels = -30
+      // analyserNode.minDecibels = -80
+      analyserNode.fftSize = 2048
+      if (source != null) {
+        source.connect(analyserNode)
+      }
+      setAnalyser(analyserNode)
     }
-  }, [source]);
+  }, [audioCtx])
 
-  useEffect(() => {
-    if (analyser && source) {
-      source.connect(analyser);
+  /*useEffect(() => {
+    if ((analyser != null) && (source != null)) {
+      source.connect(analyser)
     }
 
-    if (!source) {
-      if (analyser) {
-        analyser.disconnect();
-        setAnalyser(undefined);
+    if (source == null) {
+      if (analyser != null) {
+        analyser.disconnect()
+        // setAnalyser(undefined)
       }
     }
+  }, [analyser, source])*/
+
+  const subscribe = useCallback(
+    (callback: (features: Meyda.MeydaFeaturesObject) => void) => {
+      setCallbacks((prevState) => [...prevState, callback]);
+      return () => {
+        setCallbacks((prevState) => prevState.filter((cb) => cb !== callback));
+      };
+    },
+    []
+  );
+
+  useEffect(() => {
+    let meydaAnalyzer: Meyda.MeydaAnalyzer | undefined = undefined;
+
+    console.log("have callbacks ", callbacks);
+
+    if (audioCtx !== undefined && audioCtx.state === 'running' && source !== undefined && callbacks.length > 0) {
+      Meyda.numberOfMFCCCoefficients = 40;
+      Meyda.melBands = 40;
+      Meyda.sampleRate = audioCtx.sampleRate;
+      const bufferSize = 512;
+
+      meydaAnalyzer = Meyda.createMeydaAnalyzer({
+        audioContext: audioCtx,
+        source: source,
+        bufferSize,
+        featureExtractors: [
+          'mfcc',
+          'spectralCentroid',
+          'spectralFlatness',
+          'spectralSlope',
+          'spectralKurtosis',
+          'chroma',
+          'loudness',
+        ],
+        callback: (newFeatures: Meyda.MeydaFeaturesObject) => {
+          callbacks.forEach((callback) => {
+            callback(newFeatures);
+          });
+        },
+      });
+      meydaAnalyzer.start();
+      console.log("Set meyda");
+    } else {
+      console.log("Not setting meyda ", audioCtx, source, callbacks.length > 0);
+    }
+
+    setMeyda(meydaAnalyzer);
+
 
     return () => {
-      if (analyser) {
-        analyser.disconnect();
-        setAnalyser(undefined);
+      if (meydaAnalyzer) {
+        meydaAnalyzer.stop();
       }
-    }
-  }, [analyser, source])
+    };
+  }, [audioCtx, source, callbacks]);
 
   return (
-    <AudioAnalyserContext.Provider value={{ analyser }}>
+    <AudioAnalyserContext.Provider value={{ analyser, playing, subscribe, meyda }}>
       {children}
     </AudioAnalyserContext.Provider>
   )
 }
 
-export default AudioAnalyserContext;
\ No newline at end of file
+export default AudioAnalyserContext
diff --git a/src/contexts/InputAudioContext.tsx b/src/contexts/InputAudioContext.tsx
index f0f8bc5..772bf02 100644
--- a/src/contexts/InputAudioContext.tsx
+++ b/src/contexts/InputAudioContext.tsx
@@ -1,66 +1,245 @@
-import React, { createContext, useContext, FunctionComponent, useEffect, useState, useCallback } from 'react'
-import { useMediaStream } from './MediaStreamContext';
+import React, {
+  createContext,
+  FunctionComponent,
+  useCallback,
+  useContext,
+  useEffect,
+  useRef,
+  useState
+} from 'react'
+
+import { useSettingsStore } from '../store'
+import { useMediaStream } from './MediaStreamContext'
 
 interface InputAudioContextValue {
-  audioCtx: AudioContext | undefined;
-  source: AudioNode | undefined;
+  audioCtx: AudioContext | undefined
+  source: AudioNode | undefined
+  buffer: AudioBuffer | undefined
+  loadFile: (file: File) => Promise<void>
+  unloadFile: () => Promise<void>
+  playFile: (startTime: number) => void
+  pauseFile: () => void
+  playing: boolean
+  scrubFile: (time: number, isPlaying: boolean, scrubSize: number) => void
+  file: File | undefined
 }
 
 const InputAudioContext = createContext<InputAudioContextValue>({
   audioCtx: undefined,
   source: undefined,
-});
+  buffer: undefined,
+  loadFile: async () => { await Promise.resolve() },
+  unloadFile: async () => { await Promise.resolve() },
+  scrubFile: () => { console.warn('scrubFile not implemented') },
+  playFile: () => { console.warn('playFile not implemented') },
+  playing: false,
+  pauseFile: () => { console.warn('pauseFile not implemented') },
+  file: undefined
+})
 
-export const useInputAudio = () => useContext(InputAudioContext);
+export const useInputAudio = (): InputAudioContextValue => useContext(InputAudioContext)
 
 interface Props {
-    children: React.ReactNode;
+  children: React.ReactNode
 }
 
 export const InputAudioProvider: FunctionComponent<Props> = ({ children }) => {
-  const [context, setContext] = useState<AudioContext>();
-  const [source, setSource] = useState<MediaStreamAudioSourceNode>();
-  const { stream } = useMediaStream();
+  const [context, setContext] = useState<AudioContext>()
+  const [source, setSource] = useState<MediaStreamAudioSourceNode | AudioBufferSourceNode>()
+  const [buffer, setBuffer] = useState<AudioBuffer>()
+  const [file, setFile] = useState<File>()
+  const [playing, setPlaying] = useState(false)
+  const scrubTimeout = useRef<NodeJS.Timeout>()
+  const { stream } = useMediaStream()
+  const { settings } = useSettingsStore()
 
   const stop = useCallback(async () => {
     try {
-      if (context) {
-        await context.close();
-        setContext(undefined);
+      if (file != undefined) {
+        setFile(undefined)
+      }
+      if (context != undefined) {
+        if (context.state === 'running') {
+          await context.close()
+        }
+        setContext(undefined)
+      }
+      if (source != undefined) {
+        source.disconnect()
+        setSource(undefined)
+      }
+    } catch (e) {
+      setSource(undefined)
+      setContext(undefined)
+      setFile(undefined)
+      const error = e as Error
+      console.error(error.name, error.message)
+    }
+  }, [context, source])
+
+  const loadFile = useCallback(async (file: File) => {
+    try {
+      setFile(file)
+      const audioCtx = new AudioContext()
+      const audioBuffer = await audioCtx.decodeAudioData(await file.arrayBuffer())
+      audioCtx.createBufferSource()
+      setContext(audioCtx)
+      setBuffer(audioBuffer)
+      setPlaying(false)
+    } catch (e) {
+      const error = e as Error
+      console.error(error.name, error.message)
+    }
+  }, [context, source])
+
+  const unloadFile = useCallback(async () => {
+    try {
+      if (file != null) {
+        setFile(undefined)
+      }
+      if (context != null) {
+        if (context.state === 'running') {
+          await context.close()
+        }
+        setContext(undefined)
+      }
+      if (source != null) {
+        source.disconnect()
+        setSource(undefined)
+      }
+      if (buffer != null) {
+        setBuffer(undefined)
+      }
+    } catch (e) {
+      const error = e as Error
+      console.error(error.name, error.message)
+    }
+  }, [context, source])
+
+  const playFile = useCallback((startTime = 0) => {
+    try {
+      if ((context !== undefined) && (buffer !== undefined)) {
+        setSource((oldSource) => {
+          if (oldSource != null) {
+            (oldSource as AudioBufferSourceNode).stop()
+          }
+          const newSource = context.createBufferSource()
+          newSource.buffer = buffer
+          newSource.connect(context.destination)
+          newSource.start(0, startTime)
+          void context.resume()
+          return newSource
+        })
+        setPlaying(true)
+      }
+    } catch (e) {
+      const error = e as Error
+      console.error(error.name, error.message)
+    }
+  }, [context, setSource])
+
+  const pauseFile = useCallback(() => {
+    try {
+      if ((context !== undefined)) {
+        setSource((oldSource) => {
+          if (oldSource != null) {
+            (oldSource as AudioBufferSourceNode).stop()
+            oldSource.disconnect()
+            void context.suspend()
+          }
+          return undefined
+        })
+        setPlaying(false)
       }
-      if (source) {
-        source.disconnect();
-        setSource(undefined);
+    } catch (e) {
+      const error = e as Error
+      console.error(error.name, error.message)
+    }
+  }, [context, setSource])
+
+  const scrubFile = useCallback((time: number, isPlaying = false, scrubSize = 0.3) => {
+    try {
+      if ((context !== undefined) && (buffer !== undefined) && scrubTimeout.current == null) {
+        if (source != null) {
+          (source as AudioBufferSourceNode).stop()
+          source.disconnect()
+        }
+        const newSource = context.createBufferSource()
+        newSource.buffer = buffer
+        newSource.connect(context.destination)
+        newSource.start(
+          0,
+          Math.max(time - (scrubSize / 2), 0),
+          isPlaying ? undefined : scrubSize
+        )
+        console.log('scrub', time, scrubSize, isPlaying)
+        void context.resume()
+        const shouldPause = !isPlaying
+        if (shouldPause) {
+          setPlaying(true)
+          scrubTimeout.current = setTimeout(() => {
+            pauseFile()
+            newSource.stop()
+            newSource.disconnect()
+            scrubTimeout.current = undefined
+          }, settings.scrubberPreviewSize * 1000)
+        }
+        setSource(newSource)
       }
-    } catch(e) {
-      let error = e as Error;
-      console.error(error.name, error.message);
+    } catch (e) {
+      const error = e as Error
+      console.error(error.name, error.message)
     }
-  }, [context, source]);
+  }, [context, source, setSource, settings.scrubberPreviewSize, playing, pauseFile, scrubTimeout.current])
 
   useEffect(() => {
-    if (stream) {
-      const audioCtx = new AudioContext();
-      setSource(audioCtx.createMediaStreamSource(stream));
-      setContext(audioCtx);
+    try {
+      if (context != null) {
+        if (context.state === 'running') {
+          void context.close()
+        }
+        setContext(undefined)
+      }
+      if (stream != null) {
+        const audioCtx = new AudioContext()
+        setSource(audioCtx.createMediaStreamSource(stream))
+        setContext(audioCtx)
+        setPlaying(true)
+      }
+    } catch (e) {
+      const error = e as Error
+      console.error(error.name, error.message)
     }
-  }, [stream]);
+  }, [stream])
 
   useEffect(() => {
-    if (!stream) {
-      stop();
+    if ((stream === undefined) && (file === undefined)) {
+      void stop()
     }
 
     return () => {
-      stop();
+      if (file === undefined) {
+        void stop()
+      }
     }
-  }, [stream, stop]);
+  }, [stream, stop, file])
 
   return (
-    <InputAudioContext.Provider value={{ audioCtx: context, source }}>
+    <InputAudioContext.Provider value={{
+      audioCtx: context,
+      source,
+      buffer,
+      loadFile,
+      unloadFile,
+      playFile,
+      pauseFile,
+      playing,
+      scrubFile,
+      file
+    }}>
       {children}
     </InputAudioContext.Provider>
   )
 }
 
-export default InputAudioContext;
\ No newline at end of file
+export default InputAudioContext
diff --git a/src/contexts/MediaStreamContext.tsx b/src/contexts/MediaStreamContext.tsx
index 9515c56..a38b3bb 100644
--- a/src/contexts/MediaStreamContext.tsx
+++ b/src/contexts/MediaStreamContext.tsx
@@ -1,52 +1,59 @@
-import React, { createContext, FunctionComponent, useCallback, useContext, useState, useEffect } from 'react';
+import React, {
+  createContext,
+  FunctionComponent,
+  useCallback,
+  useContext,
+  useEffect,
+  useState
+} from 'react'
 
 interface MediaStreamContextValue {
-  stream: MediaStream | undefined;
-  start: () => void;
-  stop: () => void;
+  stream: MediaStream | undefined
+  start: () => Promise<void>
+  stop: () => void
 }
 
 const MediaStreamContext = createContext<MediaStreamContextValue>({
   stream: undefined,
-  start: () => {},
-  stop: () => {},
-});
+  start: async () => { await Promise.resolve() },
+  stop: () => { console.warn('stop not implemented') }
+})
 
-export const useMediaStream = () => useContext(MediaStreamContext);
+export const useMediaStream = (): MediaStreamContextValue => useContext(MediaStreamContext)
 
 interface Props {
-  audio: boolean;
-  video: boolean;
-  children: React.ReactNode;
+  audio: boolean
+  video: boolean
+  children: React.ReactNode
 }
 export const MediaStreamProvider: FunctionComponent<Props> = ({ children, audio, video }) => {
-  const [stream, setStream] = useState<MediaStream>();
+  const [stream, setStream] = useState<MediaStream>()
 
   useEffect(() => {
     return () => {
-      if (stream) {
-        stream.getTracks().forEach(track => track.stop());
+      if (stream != null) {
+        stream.getTracks().forEach(track => { track.stop() })
       }
     }
-  }, [stream]);
+  }, [stream])
 
   const start = useCallback(async () => {
-    const mediaStream = await navigator.mediaDevices.getUserMedia({ audio, video });
-    setStream(mediaStream);
-  }, [audio, video]);
+    const mediaStream = await navigator.mediaDevices.getUserMedia({ audio, video })
+    setStream(mediaStream)
+  }, [audio, video])
 
   const stop = useCallback(() => {
-    if (stream) {
-      stream.getTracks().forEach(track => track.stop());
-      setStream(undefined);
+    if (stream != null) {
+      stream.getTracks().forEach(track => { track.stop() })
+      setStream(undefined)
     }
-  }, [stream]);
+  }, [stream])
 
   return (
     <MediaStreamContext.Provider value={{ stream, start, stop }}>
       {children}
     </MediaStreamContext.Provider>
-  );
+  )
 }
 
-export default MediaStreamContext;
\ No newline at end of file
+export default MediaStreamContext
diff --git a/src/contexts/index.ts b/src/contexts/index.ts
index 6c9f432..d578e24 100644
--- a/src/contexts/index.ts
+++ b/src/contexts/index.ts
@@ -1,3 +1,3 @@
-export * from './AudioAnalyserContext';
-export * from './InputAudioContext';
-export * from './MediaStreamContext';
+export * from './AudioAnalyserContext'
+export * from './InputAudioContext'
+export * from './MediaStreamContext'
diff --git a/src/index.css b/src/index.css
index 409ca5c..325b427 100644
--- a/src/index.css
+++ b/src/index.css
@@ -1,4 +1,4 @@
-:root {
+body {
   font-family: Inter, Avenir, Helvetica, Arial, sans-serif;
   font-size: 16px;
   line-height: 24px;
@@ -13,6 +13,12 @@
   -webkit-font-smoothing: antialiased;
   -moz-osx-font-smoothing: grayscale;
   -webkit-text-size-adjust: 100%;
+
+  margin: 0;
+  display: flex;
+  place-items: center;
+  min-width: 320px;
+  min-height: 100vh;
 }
 
 a {
@@ -24,21 +30,12 @@ a:hover {
   color: #535bf2;
 }
 
-body {
-  margin: 0;
-  display: flex;
-  place-items: center;
-  min-width: 320px;
-  min-height: 100vh;
-}
-
 h1 {
   font-size: 3.2em;
   line-height: 1.1;
 }
 
 button {
-  border-radius: 8px;
   border: 1px solid transparent;
   padding: 0.6em 1.2em;
   font-size: 1.5em;
@@ -48,9 +45,7 @@ button {
   cursor: pointer;
   transition: border-color 0.25s;
 }
-button:hover {
-  border-color: #646cff;
-}
+
 button:focus,
 button:focus-visible {
   outline: 4px auto -webkit-focus-ring-color;
diff --git a/src/main.tsx b/src/main.tsx
index 733f473..a92fbd6 100644
--- a/src/main.tsx
+++ b/src/main.tsx
@@ -1,8 +1,11 @@
+import './index.css'
+
 import React from 'react'
+
 import ReactDOM from 'react-dom/client'
+
 import App from './App'
-import './index.css'
-import * as contexts from './contexts';
+import * as contexts from './contexts'
 
 ReactDOM.createRoot(document.getElementById('root') as HTMLElement).render(
   <React.StrictMode>
diff --git a/src/store/index.ts b/src/store/index.ts
new file mode 100644
index 0000000..64245fd
--- /dev/null
+++ b/src/store/index.ts
@@ -0,0 +1 @@
+export * from './settings'
diff --git a/src/store/settings.ts b/src/store/settings.ts
new file mode 100644
index 0000000..07f1ba6
--- /dev/null
+++ b/src/store/settings.ts
@@ -0,0 +1,52 @@
+import create from 'zustand'
+
+export interface SettingsInterface {
+  color: string
+  scrubberPreview: boolean
+  scrubberPreviewSize: number
+  predictionInterval: number
+  predictionBuffer: number
+  showNote: boolean
+}
+
+interface SettingsStore {
+  settings: SettingsInterface
+  setSettings: (settings: Partial<SettingsInterface>) => void
+  resetSettings: () => void
+}
+
+export const defaultSettings = {
+  color: 'yellow',
+  scrubberPreview: true,
+  scrubberPreviewSize: 0.3,
+  predictionInterval: 1000,
+  predictionBuffer: 128,
+  showNote: true
+};
+
+export const getSettings = (): SettingsInterface => localStorage.getItem('settings') !== null
+  ? {... defaultSettings, ...JSON.parse(localStorage.getItem('settings') as string)} as SettingsInterface 
+  : defaultSettings;
+
+export const useSettingsStore = create<SettingsStore>((set) => ({
+  settings: getSettings(),
+  resetSettings: () => {
+    localStorage.removeItem('settings')
+    set({ settings: defaultSettings })
+  },
+  setSettings: (settings: Partial<SettingsInterface>) => {
+    set((state) => {
+      localStorage.setItem('settings', JSON.stringify({
+        ...state.settings,
+        ...settings
+      }))
+
+      return {
+        settings: {
+          ...state.settings,
+          ...settings
+        }
+      }
+    })
+  }
+}))
diff --git a/src/utils/extract.ts b/src/utils/extract.ts
new file mode 100644
index 0000000..89c16e5
--- /dev/null
+++ b/src/utils/extract.ts
@@ -0,0 +1,30 @@
+import * as tf from '@tensorflow/tfjs';
+
+export interface Features {
+  mfcc: number[][];
+  spectralCentroid: number[];
+  spectralFlatness: number[];
+  spectralSlope: number[];
+  spectralKurtosis: number[];
+  chroma: number[][];
+}
+
+export function extract(features: Features, coefficients: number = 40) {
+  const mfccTensor = tf.tensor2d(features.mfcc);
+  const mfccMean = mfccTensor.mean(0).reshape([1, coefficients]);
+  const spectralCentroidTensor = tf.tensor(features.spectralCentroid);
+  const spectralCentroidMean = spectralCentroidTensor.mean(0).reshape([1, 1]);
+  const spectralFlatnessTensor = tf.tensor(features.spectralFlatness);
+  const spectralFlatnessMean = spectralFlatnessTensor.mean(0).reshape([1, 1]);
+  const spectralSlopeTensor = tf.tensor(features.spectralSlope);
+  const spectralSlopeMean = spectralSlopeTensor.mean(0).reshape([1, 1]);
+  const spectralKurtosisTensor = tf.tensor(features.spectralKurtosis);
+  const spectralKurtosisMean = spectralKurtosisTensor.mean(0).reshape([1, 1]);
+  const chromaTensor = tf.tensor2d(features.chroma);
+  const chromaMean = chromaTensor.mean(0).reshape([1, 12]);
+
+  // Concatenate the mean values of all features into a single tensor
+  const combinedMean = tf.concat([mfccMean, chromaMean, spectralCentroidMean, spectralFlatnessMean, spectralKurtosisMean, spectralSlopeMean], 1);
+
+  return combinedMean;
+}
\ No newline at end of file
diff --git a/src/utils/sound.ts b/src/utils/sound.ts
index 5997f16..18c6eaa 100644
--- a/src/utils/sound.ts
+++ b/src/utils/sound.ts
@@ -1,77 +1,541 @@
+import FFT from 'fft.js'
+
+import * as tf from '@tensorflow/tfjs'
+
 // const notes = ['A', 'B', 'C', 'D', 'E', 'F', 'G'];
-const notes = ['C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#', 'A', 'A#', 'B'];
+const notes = ['C', 'C#', 'D', 'D#', 'E', 'F', 'F#', 'G', 'G#', 'A', 'A#', 'B']
 
-const A4 = 440;
-const C0 = Math.round(A4 * Math.pow(2, -4.75)); // 16
+const A4 = 440
+const C0 = Math.round(A4 * Math.pow(2, -4.75)) // 16
 
 interface calculateFrequencyOptions {
-    rate?: number;
+  rate?: number
 }
 
 // Code by fritzvd (signaltohertz) - https://github.com/fritzvd/signaltohertz
 // Changes: function name
 const calculateFrequency = (frequencies: Float32Array, options: calculateFrequencyOptions = {}) => {
-	const { rate = 22050 / 1024 } = options; // defaults in audioContext.
-
-	let maxI = 0;
-	let max = frequencies[0];
-
-	for (let i = 0; frequencies.length > i; i++) {
-		const oldmax = max;
-		const newmax = Math.max(max, frequencies[i]);
-		if (oldmax != newmax) {
-			max = newmax;
-			maxI = i;
-		}
-	}
-	return maxI * rate;
-};
+  const { rate = 22050 / 1024 } = options // defaults in audioContext.
+
+  let maxI = 0
+  let max = frequencies[0]
+
+  for (let i = 0; frequencies.length > i; i++) {
+    const oldmax = max
+    const newmax = Math.max(max, frequencies[i])
+    if (oldmax != newmax) {
+      max = newmax
+      maxI = i
+    }
+  }
+  return maxI * rate
+}
 
 // Calculate amount of steps away from C0
 const calculateSemiTone = (frequency: number) => {
-	const semiTonesAway = 12 * Math.log2(frequency / C0);
-	return semiTonesAway;
-};
+  const semiTonesAway = 12 * Math.log2(frequency / C0)
+  return semiTonesAway
+}
 
 // Uses C0 as base
 const calculateOctave = (semiTonesAway: number) => {
-	const octave = Math.floor(semiTonesAway / 12);
-	return octave;
-};
+  const octave = Math.floor(semiTonesAway / 12)
+  return octave
+}
 
 const calculateCents = (currentFrequency: number, lastFrequency: number) => {
-	const cents = 1200 * Math.log2(lastFrequency / currentFrequency);
-	return cents;
-};
+  const cents = 1200 * Math.log2(lastFrequency / currentFrequency)
+  return cents
+}
 
 const calculateNote = (frequency: number) => {
-	const semiTone = calculateSemiTone(frequency);
-	const octave = calculateOctave(semiTone);
-	const notePosition = Math.floor(semiTone % 12);
-	const note = notes[notePosition] + String(octave);
-	return note;
-};
+  const semiTone = calculateSemiTone(frequency)
+  const octave = calculateOctave(semiTone)
+  const notePosition = Math.floor(semiTone % 12)
+  const note = notes[notePosition] + String(octave)
+  return note
+}
 
 const toDecimals = (number: number, decimals: number) => {
-	const fixedNumber = number.toFixed(decimals);
-	return fixedNumber;
-};
+  const fixedNumber = number.toFixed(decimals)
+  return fixedNumber
+}
 
 // Handle error
 const throwError = (err: string) => {
-	throw new Error(`Something went wrong: ${err}`);
-};
+  throw new Error(`Something went wrong: ${err}`)
+}
 
 const logError = (err: string) => {
-	console.error(err);
-};
-
-export {
-	calculateFrequency,
-	calculateSemiTone,
-	calculateCents,
-	calculateNote,
-	toDecimals,
-	throwError,
-	logError,
-};
\ No newline at end of file
+  console.error(err)
+}
+
+export { calculateCents, calculateFrequency, calculateNote, calculateSemiTone, logError, throwError, toDecimals }
+
+/**
+ * Utiltities for loading audio and computing mel spectrograms, based on
+ * {@link https://github.com/google/web-audio-recognition/blob/librosa-compat}.
+ * TODO(adarob): Rewrite using tfjs.
+ *
+ * @license
+ * Copyright 2018 Google Inc. All Rights Reserved.
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+// @ts-expect-error
+
+function getGlobalObject () {
+  // tslint:disable-next-line:max-line-length
+  // https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/globalThis
+  if (typeof globalThis !== 'undefined') { return globalThis }
+  if (typeof self !== 'undefined') { return self }
+  if (typeof window !== 'undefined') { return window }
+  if (typeof global !== 'undefined') { return global }
+  throw new Error('cannot find the global object')
+}
+
+const globalObject = getGlobalObject()
+
+// tslint:disable:no-any
+export const isSafari = !!(globalObject as any).webkitOfflineAudioContext
+// tslint:disable-next-line:no-any variable-name
+const isWorker = typeof (globalObject as any).WorkerGlobalScope !== 'undefined'
+
+export function getOfflineAudioContext (sampleRate: number): OfflineAudioContext {
+  // Safari Webkit only supports 44.1kHz audio.
+  const WEBKIT_SAMPLE_RATE = 44100
+  sampleRate = isSafari ? WEBKIT_SAMPLE_RATE : sampleRate
+
+  if (isWorker) {
+	  throw new Error('Cannot use offline audio context in a web worker.')
+  }
+
+  // tslint:disable-next-line:no-any variable-name
+  const SafariOfflineCtx = (globalObject as any).webkitOfflineAudioContext
+  return isSafari
+    ? new SafariOfflineCtx(1, sampleRate, sampleRate)
+	  : new globalObject.OfflineAudioContext(1, sampleRate, sampleRate)
+}
+
+const SAMPLE_RATE = 16000
+const offlineCtx = getOfflineAudioContext(SAMPLE_RATE)
+
+/**
+ * Parameters for computing a spectrogram from audio.
+ */
+export interface SpecParams {
+  sampleRate: number
+  hopLength?: number
+  winLength?: number
+  nFft?: number
+  nMels?: number
+  power?: number
+  fMin?: number
+  fMax?: number
+}
+
+/**
+ * Loads audio into AudioBuffer from a Blob to transcribe.
+ *
+ * By default, audio is loaded at 16kHz monophonic for compatibility with
+ * model. In Safari, audio must be loaded at 44.1kHz instead.
+ *
+ * @param url A path to a audio file to load.
+ * @returns The loaded audio in an AudioBuffer.
+ */
+export async function loadAudioFromFile (blob: Blob): Promise<AudioBuffer> {
+  const fileReader = new FileReader()
+  const loadFile: Promise<ArrayBuffer> = new Promise((resolve, reject) => {
+    fileReader.onerror = () => {
+      fileReader.abort()
+      reject(new DOMException('Something went wrong reading that file.'))
+    }
+    fileReader.onload = () => {
+      resolve(fileReader.result as ArrayBuffer)
+    }
+    fileReader.readAsArrayBuffer(blob)
+  })
+  return await loadFile.then(
+    async (arrayBuffer) => await offlineCtx.decodeAudioData(arrayBuffer))
+}
+
+export function melSpectrogram (
+  y: Float32Array, params: SpecParams): Float32Array[] {
+  if (!params.power) {
+    params.power = 2.0
+  }
+  const stftMatrix = stft(y, params)
+  const [spec, nFft] = magSpectrogram(stftMatrix, params.power)
+
+  params.nFft = nFft
+  const melBasis = createMelFilterbank(params)
+  return applyWholeFilterbank(spec, melBasis)
+}
+
+/**
+ * Convert a power spectrogram (amplitude squared) to decibel (dB) units
+ *
+ * Intended to match {@link
+ * https://librosa.github.io/librosa/generated/librosa.core.power_to_db.html
+ * librosa.core.power_to_db}
+ * @param spec Input power.
+ * @param amin Minimum threshold for `abs(S)`.
+ * @param topDb Threshold the output at `topDb` below the peak.
+ */
+export function powerToDb (spec: Float32Array[], amin = 1e-10, topDb = 80.0) {
+  const width = spec.length
+  const height = spec[0].length
+  const logSpec = []
+  for (let i = 0; i < width; i++) {
+    logSpec[i] = new Float32Array(height)
+  }
+  for (let i = 0; i < width; i++) {
+    for (let j = 0; j < height; j++) {
+      const val = spec[i][j]
+      logSpec[i][j] = 10.0 * Math.log10(Math.max(amin, val))
+    }
+  }
+  if (topDb) {
+    if (topDb < 0) {
+      throw new Error('topDb must be non-negative.')
+    }
+    for (let i = 0; i < width; i++) {
+      const maxVal = max(logSpec[i])
+      for (let j = 0; j < height; j++) {
+        logSpec[i][j] = Math.max(logSpec[i][j], maxVal - topDb)
+      }
+    }
+  }
+  return logSpec
+}
+
+function getMonoAudio (audioBuffer: AudioBuffer) {
+  if (audioBuffer.numberOfChannels === 1) {
+    return audioBuffer.getChannelData(0)
+  }
+  if (audioBuffer.numberOfChannels !== 2) {
+    throw Error(
+        `${audioBuffer.numberOfChannels} channel audio is not supported.`)
+  }
+  const ch0 = audioBuffer.getChannelData(0)
+  const ch1 = audioBuffer.getChannelData(1)
+
+  const mono = new Float32Array(audioBuffer.length)
+  for (let i = 0; i < audioBuffer.length; ++i) {
+    mono[i] = (ch0[i] + ch1[i]) / 2
+  }
+  return mono
+}
+
+interface MelParams {
+  sampleRate: number
+  nFft?: number
+  nMels?: number
+  fMin?: number
+  fMax?: number
+}
+
+function magSpectrogram (
+  stft: Float32Array[], power: number): [Float32Array[], number] {
+  const spec = stft.map((fft) => pow(mag(fft), power))
+  const nFft = stft[0].length - 1
+  return [spec, nFft]
+}
+
+function stft (y: Float32Array, params: SpecParams): Float32Array[] {
+  const nFft = params.nFft || 2048
+  const winLength = params.winLength || nFft
+  const hopLength = params.hopLength || Math.floor(winLength / 4)
+
+  let fftWindow = hannWindow(winLength)
+
+  // Pad the window to be the size of nFft.
+  fftWindow = padCenterToLength(fftWindow, nFft)
+
+  // Pad the time series so that the frames are centered.
+  y = padReflect(y, Math.floor(nFft / 2))
+
+  // Window the time series.
+  const yFrames = frame(y, nFft, hopLength)
+  // Pre-allocate the STFT matrix.
+  const stftMatrix = []
+
+  const width = yFrames.length
+  const height = nFft + 2
+  for (let i = 0; i < width; i++) {
+    // Each column is a Float32Array of size height.
+    const col = new Float32Array(height)
+    stftMatrix[i] = col
+  }
+
+  for (let i = 0; i < width; i++) {
+    // Populate the STFT matrix.
+    const winBuffer = applyWindow(yFrames[i], fftWindow)
+    if (winBuffer != null) {
+      const col = fft(winBuffer)
+      stftMatrix[i].set(col.slice(0, height))
+    }
+  }
+
+  return stftMatrix
+}
+
+function applyWholeFilterbank (
+  spec: Float32Array[], filterbank: Float32Array[]): Float32Array[] {
+  // Apply a point-wise dot product between the array of arrays.
+  const out: Float32Array[] = []
+  for (let i = 0; i < spec.length; i++) {
+    out[i] = applyFilterbank(spec[i], filterbank)
+  }
+  return out
+}
+
+function applyFilterbank (
+  mags: Float32Array, filterbank: Float32Array[]): Float32Array {
+  if (mags.length !== filterbank[0].length) {
+    throw new Error(
+      'Each entry in filterbank should have dimensions ' +
+        `matching FFT. |mags| = ${mags.length}, ` +
+        `|filterbank[0]| = ${filterbank[0].length}.`)
+  }
+
+  // Apply each filter to the whole FFT signal to get one value.
+  const out = new Float32Array(filterbank.length)
+  for (let i = 0; i < filterbank.length; i++) {
+    // To calculate filterbank energies we multiply each filterbank with the
+    // power spectrum.
+    const win = applyWindow(mags, filterbank[i])
+    // Then add up the coefficents.
+    if (win != null) {
+    	out[i] = win.reduce((a, b) => a + b)
+    } else {
+      out[i] = 0
+    }
+  }
+  return out
+}
+
+export function applyWindow (buffer: Float32Array, win: Float32Array) {
+  if (buffer.length !== win.length) {
+    console.error(
+        `Buffer length ${buffer.length} != window length ${win.length}.`)
+    return null
+  }
+
+  const out = new Float32Array(buffer.length)
+  for (let i = 0; i < buffer.length; i++) {
+    out[i] = win[i] * buffer[i]
+  }
+  return out
+}
+
+export function padCenterToLength (data: Float32Array, length: number) {
+  // If data is longer than length, error!
+  if (data.length > length) {
+    throw new Error('Data is longer than length.')
+  }
+
+  const paddingLeft = Math.floor((length - data.length) / 2)
+  const paddingRight = length - data.length - paddingLeft
+  return padConstant(data, [paddingLeft, paddingRight])
+}
+
+export function padConstant (data: Float32Array, padding: number | number[]) {
+  let padLeft, padRight
+  if (typeof padding === 'object') {
+    [padLeft, padRight] = padding
+  } else {
+    padLeft = padRight = padding
+  }
+  const out = new Float32Array(data.length + padLeft + padRight)
+  out.set(data, padLeft)
+  return out
+}
+
+function padReflect (data: Float32Array, padding: number) {
+  const out = padConstant(data, padding)
+  for (let i = 0; i < padding; i++) {
+    // Pad the beginning with reflected values.
+    out[i] = out[2 * padding - i]
+    // Pad the end with reflected values.
+    out[out.length - i - 1] = out[out.length - 2 * padding + i - 1]
+  }
+  return out
+}
+
+/**
+ * Given a timeseries, returns an array of timeseries that are windowed
+ * according to the params specified.
+ */
+export function frame (
+  data: Float32Array, frameLength: number,
+  hopLength: number): Float32Array[] {
+  const bufferCount = Math.floor((data.length - frameLength) / hopLength) + 1
+  const buffers = Array.from(
+    { length: bufferCount }, (x, i) => new Float32Array(frameLength))
+  for (let i = 0; i < bufferCount; i++) {
+    const ind = i * hopLength
+    const buffer = data.slice(ind, ind + frameLength)
+    buffers[i].set(buffer)
+    // In the end, we will likely have an incomplete buffer, which we should
+    // just ignore.
+    if (buffer.length !== frameLength) {
+      continue
+    }
+  }
+  return buffers
+}
+
+function createMelFilterbank (params: MelParams): Float32Array[] {
+  const fMin = params.fMin || 0
+  const fMax = params.fMax || params.sampleRate / 2
+  const nMels = params.nMels || 128
+  const nFft = params.nFft || 2048
+
+  // Center freqs of each FFT band.
+  const fftFreqs = calculateFftFreqs(params.sampleRate, nFft)
+  // (Pseudo) center freqs of each Mel band.
+  const melFreqs = calculateMelFreqs(nMels + 2, fMin, fMax)
+
+  const melDiff = internalDiff(melFreqs)
+  const ramps = outerSubtract(melFreqs, fftFreqs)
+  const filterSize = ramps[0].length
+
+  const weights = []
+  for (let i = 0; i < nMels; i++) {
+    weights[i] = new Float32Array(filterSize)
+    for (let j = 0; j < ramps[i].length; j++) {
+      const lower = -ramps[i][j] / melDiff[i]
+      const upper = ramps[i + 2][j] / melDiff[i + 1]
+      const weight = Math.max(0, Math.min(lower, upper))
+      weights[i][j] = weight
+    }
+  }
+
+  // Slaney-style mel is scaled to be approx constant energy per channel.
+  for (let i = 0; i < weights.length; i++) {
+    // How much energy per channel.
+    const enorm = 2.0 / (melFreqs[2 + i] - melFreqs[i])
+    // Normalize by that amount.
+    weights[i] = weights[i].map((val) => val * enorm)
+  }
+
+  return weights
+}
+
+function fft (y: Float32Array) {
+  const fft = new FFT(y.length)
+  const out = fft.createComplexArray()
+  const data = fft.toComplexArray(y)
+  fft.transform(out, data)
+  return out
+}
+
+export function hannWindow (length: number) {
+  const win = new Float32Array(length)
+  for (let i = 0; i < length; i++) {
+    win[i] = 0.5 * (1 - Math.cos((2 * Math.PI * i) / (length - 1)))
+  }
+  return win
+}
+
+function linearSpace (start: number, end: number, count: number) {
+  // Include start and endpoints.
+  const delta = (end - start) / (count - 1)
+  const out = new Float32Array(count)
+  for (let i = 0; i < count; i++) {
+    out[i] = start + delta * i
+  }
+  return out
+}
+
+/**
+ * Given an interlaced complex array (y_i is real, y_(i+1) is imaginary),
+ * calculates the energies. Output is half the size.
+ */
+function mag (y: Float32Array) {
+  const out = new Float32Array(y.length / 2)
+  for (let i = 0; i < y.length / 2; i++) {
+    out[i] = Math.sqrt(y[i * 2] * y[i * 2] + y[i * 2 + 1] * y[i * 2 + 1])
+  }
+  return out
+}
+
+export function midiToHz (notes: number) {
+  let notesTensor = tf.sub(notes, 69.0)
+  notesTensor = tf.div(notesTensor, 12.0)
+  notesTensor = tf.pow(2.0, notesTensor)
+  notesTensor = tf.mul(440.0, notesTensor)
+  return notesTensor
+}
+
+export async function hzToMidi (frequencies: number[]): Promise<number[]> {
+  let frequenciesTensor: tf.Tensor = tf.sub(
+    tf.div(tf.log(frequencies), tf.log(2)), tf.div(tf.log(440.0), tf.log(2)))
+  frequenciesTensor = tf.mul(12, frequenciesTensor)
+  frequenciesTensor = tf.add(frequenciesTensor, 69)
+  const frequenciesVal = await frequenciesTensor.array()
+  return frequenciesVal as number[]
+}
+
+function hzToMel (hz: number): number {
+  return 1125.0 * Math.log(1 + hz / 700.0)
+}
+
+function melToHz (mel: number): number {
+  return 700.0 * (Math.exp(mel / 1125.0) - 1)
+}
+
+function calculateFftFreqs (sampleRate: number, nFft: number) {
+  return linearSpace(0, sampleRate / 2, Math.floor(1 + nFft / 2))
+}
+
+function calculateMelFreqs (
+  nMels: number, fMin: number, fMax: number): Float32Array {
+  const melMin = hzToMel(fMin)
+  const melMax = hzToMel(fMax)
+
+  // Construct linearly spaced array of nMel intervals, between melMin and
+  // melMax.
+  const mels = linearSpace(melMin, melMax, nMels)
+  const hzs = mels.map((mel) => melToHz(mel))
+  return hzs
+}
+
+function internalDiff (arr: Float32Array): Float32Array {
+  const out = new Float32Array(arr.length - 1)
+  for (let i = 0; i < arr.length; i++) {
+    out[i] = arr[i + 1] - arr[i]
+  }
+  return out
+}
+
+function outerSubtract (arr: Float32Array, arr2: Float32Array): Float32Array[] {
+  const out = []
+  for (let i = 0; i < arr.length; i++) {
+    out[i] = new Float32Array(arr2.length)
+  }
+  for (let i = 0; i < arr.length; i++) {
+    for (let j = 0; j < arr2.length; j++) {
+      out[i][j] = arr[i] - arr2[j]
+    }
+  }
+  return out
+}
+
+function pow (arr: Float32Array, power: number) {
+  return arr.map((v) => Math.pow(v, power))
+}
+
+function max (arr: Float32Array) {
+  return arr.reduce((a, b) => Math.max(a, b))
+}
diff --git a/src/utils/theme.ts b/src/utils/theme.ts
new file mode 100644
index 0000000..60d0bb4
--- /dev/null
+++ b/src/utils/theme.ts
@@ -0,0 +1,78 @@
+import {
+  ButtonStylesParams,
+  MantineThemeOverride
+} from '@mantine/core'
+
+import { SettingsInterface } from '../store'
+
+export const theme = (settings: SettingsInterface): MantineThemeOverride => ({
+  colorScheme: 'dark',
+  primaryColor: 'blue',
+  defaultRadius: '2rem',
+  components: {
+    Text: {
+      styles: {
+        root: {
+          cursor: 'default',
+          userSelect: 'none'
+        }
+      }
+    },
+    Button: {
+      styles: (theme, params: ButtonStylesParams) => ({
+        root: {
+          height: 'fit-content',
+          borderRadius: '2rem',
+          border: '2px solid transparent',
+          padding: '0.8em 1.5em',
+          lineHeight: 1.3,
+          fontWeight: 500,
+          fontFamily: 'inherit',
+          cursor: 'pointer',
+          transition: 'border-color 0.25s',
+          '&:hover': {
+            borderColor:
+              params.color !== undefined && theme.colors[params.color] !== undefined && typeof theme.colors[params.color] === 'object'
+                ? theme.colors[params.color][3]
+                : theme.colors[settings.color][3]
+          },
+          borderColor: params.variant === 'filled' ? undefined : params.color !== undefined ? params.color : undefined,
+          color: params.variant === 'filled' ? undefined : params.color !== undefined ? params.color : 'white',
+          backgroundColor: '#1a1a1a'
+          /* backgroundColor:
+            params.variant === 'filled' && theme.colors
+              ? theme.colors[params.color || theme.primaryColor || 'yellow'][7]
+              : '#1a1a1a' */
+        }
+      })
+    },
+    Slider: {
+      styles: {
+        label: {
+          marginTop: '-0.5em'
+        }
+      }
+    },
+    Modal: {
+      styles: {
+        body: {
+          padding: '1.5em',
+          paddingTop: '0.5em'
+        }
+      }
+    },
+    Switch: {
+      styles: {
+        root: {
+          cursor: 'pointer'
+        },
+        thumb: {
+          cursor: 'pointer'
+        },
+        track: {
+          cursor: 'pointer'
+        }
+      }
+    }
+  }
+})
diff --git a/src/utils/useInterval.ts b/src/utils/useInterval.ts
index a2e6528..54e12ae 100644
--- a/src/utils/useInterval.ts
+++ b/src/utils/useInterval.ts
@@ -1,8 +1,11 @@
-import { useEffect, useRef } from 'react'
+import {
+  useEffect,
+  useRef
+} from 'react'
 
 import { useIsomorphicLayoutEffect } from 'usehooks-ts'
 
-function useInterval(callback: () => void, delay: number | null) {
+function useInterval (callback: () => void, delay: number | null): void {
   const savedCallback = useRef(callback)
 
   // Remember the latest callback if it changes.
@@ -14,14 +17,14 @@ function useInterval(callback: () => void, delay: number | null) {
   useEffect(() => {
     // Don't schedule if no delay is specified.
     // Note: 0 is a valid value for delay.
-    if (!delay && delay !== 0) {
+    if (delay == null || delay === 0) {
       return
     }
 
-    const id = setInterval(() => savedCallback.current(), delay)
+    const id = setInterval(() => { savedCallback.current() }, delay)
 
-    return () => clearInterval(id)
+    return () => { clearInterval(id) }
   }, [delay])
 }
 
-export default useInterval
\ No newline at end of file
+export default useInterval
diff --git a/src/utils/useRealtimePrediction.ts b/src/utils/useRealtimePrediction.ts
new file mode 100644
index 0000000..d6a6b78
--- /dev/null
+++ b/src/utils/useRealtimePrediction.ts
@@ -0,0 +1,65 @@
+import useInterval from './useInterval'
+import { useCallback, useEffect, useRef } from 'react'
+import { useAudioAnalyser } from '~/contexts'
+import { useModel } from 'react-tensorflow'
+import * as tf from '@tensorflow/tfjs'
+import { useSettingsStore } from '~/store'
+
+type PredictCallback = (prediction: number) => void
+
+type UseRealtimePredictionOptions = {
+  predictCallback: PredictCallback
+}
+
+export const useRealtimePrediction = (options: UseRealtimePredictionOptions) => {
+  const { predictCallback } = options
+
+  const { meyda, subscribe, playing } = useAudioAnalyser()
+  const model = useModel({ modelUrl: `${window.location.href}model/model.json`, layers: true })
+  const features = useRef<number[][]>([])
+  const settings = useSettingsStore(state => state.settings)
+
+  const clearBuffer = useCallback(() => {
+    features.current = []
+  }, [])
+
+  const predict = useInterval(() => {
+    if (model != null && features.current.length >= 10) {
+      const featuresTensor = tf.stack([features.current], 0)
+
+      const prediction: tf.Tensor<tf.Rank> | undefined = model.predict(featuresTensor) as tf.Tensor<tf.Rank>
+      const parsedPrediction = 1 - prediction.dataSync()[0] ?? undefined
+
+      if (
+        prediction !== undefined &&
+        parsedPrediction !== undefined &&
+        !isNaN(parsedPrediction)
+      ) {
+        predictCallback(parsedPrediction)
+      }
+    }
+  }, settings.predictionInterval)
+
+  const gotNewFeatures = useCallback((newFeatures: Meyda.MeydaFeaturesObject) => {
+    if (newFeatures.loudness.total >= 10) {
+      let featureTensor = [
+        ...newFeatures.mfcc,
+        ...newFeatures.chroma,
+        newFeatures.spectralCentroid / (512 / 2),
+        newFeatures.spectralFlatness,
+        newFeatures.spectralSlope,
+        newFeatures.spectralKurtosis
+      ]
+      features.current = [...features.current.slice(-settings.predictionBuffer), [...featureTensor]]
+    }
+  }, [])
+
+  useEffect(() => {
+    subscribe(gotNewFeatures)
+  }, [gotNewFeatures])
+
+  return {
+    model,
+    clearBuffer,
+  }
+}
diff --git a/src/vite-env.d.ts b/src/vite-env.d.ts
index 11f02fe..e578524 100644
--- a/src/vite-env.d.ts
+++ b/src/vite-env.d.ts
@@ -1 +1,2 @@
+// eslint-disable-next-line @typescript-eslint/triple-slash-reference
 /// <reference types="vite/client" />
diff --git a/tsconfig.json b/tsconfig.json
index 3d0a51a..66ac4e5 100644
--- a/tsconfig.json
+++ b/tsconfig.json
@@ -5,7 +5,7 @@
     "lib": ["DOM", "DOM.Iterable", "ESNext"],
     "allowJs": false,
     "skipLibCheck": true,
-    "esModuleInterop": false,
+    "esModuleInterop": true,
     "allowSyntheticDefaultImports": true,
     "strict": true,
     "forceConsistentCasingInFileNames": true,
@@ -14,7 +14,10 @@
     "resolveJsonModule": true,
     "isolatedModules": true,
     "noEmit": true,
-    "jsx": "react-jsx"
+    "jsx": "react-jsx",
+    "paths": {
+      "~/*": [ "./src/*" ]
+    }
   },
   "include": ["src"],
   "references": [{ "path": "./tsconfig.node.json" }]
diff --git a/vite.config.ts b/vite.config.ts
index bfc2f1b..e33be10 100644
--- a/vite.config.ts
+++ b/vite.config.ts
@@ -1,10 +1,11 @@
 import { defineConfig } from 'vite'
+import tsconfigPaths from 'vite-tsconfig-paths';
 import react from '@vitejs/plugin-react'
 
 // https://vitejs.dev/config/
 export default defineConfig({
-  plugins: [react()],
+  plugins: [tsconfigPaths(), react()],
   server: {
     port: 3000,
-  }
+  },
 })