(0.4)_FastAPI_graph_Chat_with_Nishat_AI.ipynb

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  "metadata": {
    "colab": {
      "provenance": [],
      "authorship_tag": "ABX9TyO/hwRxP0CfnqDkouJ4Yodc",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/NishatVasker/Machine_learning_projects/blob/main/(0.4)_FastAPI_graph_Chat_with_Nishat_AI.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "M1A6rpgUc_VF",
        "outputId": "948fc828-7560-4989-dc83-dc07fdf2d030"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting openai\n",
            "  Downloading openai-0.26.4.tar.gz (55 kB)\n",
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            "\u001b[?25h  Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
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            "Building wheels for collected packages: openai\n",
            "  Building wheel for openai (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for openai: filename=openai-0.26.4-py3-none-any.whl size=67744 sha256=d12667c265717ea372ff005c689aac19fdd2f1cb8a40e6caefbe75808ee0aad3\n",
            "  Stored in directory: /root/.cache/pip/wheels/2b/d8/4e/268f029bd3277c1dd9e8781a0e0296e0a63822665bfa2429fc\n",
            "Successfully built openai\n",
            "Installing collected packages: openai\n",
            "Successfully installed openai-0.26.4\n"
          ]
        }
      ],
      "source": [
        "pip install openai"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import os\n",
        "import openai\n",
        "\n",
        "openai.api_key = (\"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\") # replace you API key\n",
        "\n",
        "response = openai.Completion.create(\n",
        "  model=\"text-davinci-003\",\n",
        "  prompt=input(\"enter your question: \"),\n",
        "  temperature=0.7,\n",
        "  max_tokens=4000,\n",
        "  top_p=1,\n",
        "  frequency_penalty=0,\n",
        "  presence_penalty=0\n",
        ")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0PGIHelGc_9a",
        "outputId": "87ff31ed-6383-4235-e48b-6de4d655d96c"
      },
      "execution_count": 2,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "enter your question: hi\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(response['choices'][0]['text'])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "WDP-7q9BdAAu",
        "outputId": "cb051931-7af6-45ac-cab0-79d8c5419b7b"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            ".\n",
            "\n",
            "The Nagpur police have decided to install CCTV cameras at the trees to keep an eye on the situation.\n",
            "\n",
            "This is a great initiative taken by the Nagpur police to ensure the safety of the trees and the people living in the area. CCTV cameras will help them monitor the situation and take the necessary action to prevent any vandalism or damage. This will help protect the trees and the environment around them. It will also help the police identify any offenders and take legal action against them.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(response)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "fqovX0--dGGl",
        "outputId": "01b7765e-4c0b-4bd2-b772-9842e16aa820"
      },
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "{\n",
            "  \"choices\": [\n",
            "    {\n",
            "      \"finish_reason\": \"stop\",\n",
            "      \"index\": 0,\n",
            "      \"logprobs\": null,\n",
            "      \"text\": \".\\n\\nThe Nagpur police have decided to install CCTV cameras at the trees to keep an eye on the situation.\\n\\nThis is a great initiative taken by the Nagpur police to ensure the safety of the trees and the people living in the area. CCTV cameras will help them monitor the situation and take the necessary action to prevent any vandalism or damage. This will help protect the trees and the environment around them. It will also help the police identify any offenders and take legal action against them.\"\n",
            "    }\n",
            "  ],\n",
            "  \"created\": 1674811854,\n",
            "  \"id\": \"cmpl-6dFMMlZ2g7wsgErXCwUMVn1Ey0fb0\",\n",
            "  \"model\": \"text-davinci-003\",\n",
            "  \"object\": \"text_completion\",\n",
            "  \"usage\": {\n",
            "    \"completion_tokens\": 100,\n",
            "    \"prompt_tokens\": 1,\n",
            "    \"total_tokens\": 101\n",
            "  }\n",
            "}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "     ########## 1ST VERSION (1st priority)\n",
        "\n",
        "\n",
        "!pip install gradio\n",
        "import gradio as gr\n",
        "\n",
        "def openai_response(prompt):\n",
        "    openai.api_key = (\"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\")\n",
        "    response = openai.Completion.create(\n",
        "        model=\"text-davinci-003\",\n",
        "        prompt=prompt,\n",
        "        temperature=0.7,\n",
        "        max_tokens=4000,\n",
        "        top_p=1,\n",
        "        frequency_penalty=0,\n",
        "        presence_penalty=0\n",
        "    )\n",
        "    return response['choices'][0]['text']\n",
        "\n",
        "input_text = gr.inputs.Textbox(label=\"Enter your question:\")\n",
        "output_text = gr.outputs.Textbox(label=\"Output:\")\n",
        "\n",
        "\n",
        "gr.Interface(openai_response, input_text, output_text).launch()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "7eKdnfvFi0XU",
        "outputId": "2c0c6650-5e3c-46f6-92ec-d4d501d63365"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
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            "  Downloading linkify_it_py-1.0.3-py3-none-any.whl (19 kB)\n",
            "Requirement already satisfied: kiwisolver>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio) (1.4.4)\n",
            "Requirement already satisfied: pyparsing!=2.0.4,!=2.1.2,!=2.1.6,>=2.0.1 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio) (3.0.9)\n",
            "Requirement already satisfied: cycler>=0.10 in /usr/local/lib/python3.8/dist-packages (from matplotlib->gradio) (0.11.0)\n",
            "Requirement already satisfied: six>=1.4.0 in /usr/local/lib/python3.8/dist-packages (from python-multipart->gradio) (1.15.0)\n",
            "Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.8/dist-packages (from requests->gradio) (2.10)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests->gradio) (1.24.3)\n",
            "Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.8/dist-packages (from requests->gradio) (4.0.0)\n",
            "Collecting h11>=0.8\n",
            "  Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 KB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
            "\u001b[?25hRequirement already satisfied: click>=7.0 in /usr/local/lib/python3.8/dist-packages (from uvicorn->gradio) (7.1.2)\n",
            "Requirement already satisfied: importlib-resources>=1.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=3.0->altair>=4.2.0->gradio) (5.10.2)\n",
            "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=3.0->altair>=4.2.0->gradio) (0.19.3)\n",
            "Collecting uc-micro-py\n",
            "  Downloading uc_micro_py-1.0.1-py3-none-any.whl (6.2 kB)\n",
            "Requirement already satisfied: zipp>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from importlib-resources>=1.4.0->jsonschema>=3.0->altair>=4.2.0->gradio) (3.11.0)\n",
            "Building wheels for collected packages: ffmpy, python-multipart\n",
            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4711 sha256=ddc77a7a3c53b16386ab454f75d8ffbbc236600f7da0921b3e87641d83c6b985\n",
            "  Stored in directory: /root/.cache/pip/wheels/ff/5b/59/913b443e7369dc04b61f607a746b6f7d83fb65e2e19fcc958d\n",
            "  Building wheel for python-multipart (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
            "  Created wheel for python-multipart: filename=python_multipart-0.0.5-py3-none-any.whl size=31678 sha256=30b9b613f5a26b2af6fc4646f4ec25bf6ce40d4e153b349e8bae58bcbbc8a89e\n",
            "  Stored in directory: /root/.cache/pip/wheels/9e/fc/1c/cf980e6413d3ee8e70cd8f39e2366b0f487e3e221aeb452eb0\n",
            "Successfully built ffmpy python-multipart\n",
            "Installing collected packages: rfc3986, pydub, ffmpy, websockets, uc-micro-py, sniffio, python-multipart, pycryptodome, orjson, mdurl, h11, aiofiles, uvicorn, markdown-it-py, linkify-it-py, anyio, starlette, mdit-py-plugins, httpcore, httpx, fastapi, gradio\n",
            "Successfully installed aiofiles-22.1.0 anyio-3.6.2 fastapi-0.89.1 ffmpy-0.3.0 gradio-3.16.2 h11-0.14.0 httpcore-0.16.3 httpx-0.23.3 linkify-it-py-1.0.3 markdown-it-py-2.1.0 mdit-py-plugins-0.3.3 mdurl-0.1.2 orjson-3.8.5 pycryptodome-3.16.0 pydub-0.25.1 python-multipart-0.0.5 rfc3986-1.5.0 sniffio-1.3.0 starlette-0.22.0 uc-micro-py-1.0.1 uvicorn-0.20.0 websockets-10.4\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.8/dist-packages/gradio/inputs.py:27: UserWarning: Usage of gradio.inputs is deprecated, and will not be supported in the future, please import your component from gradio.components\n",
            "  warnings.warn(\n",
            "/usr/local/lib/python3.8/dist-packages/gradio/deprecation.py:40: UserWarning: `optional` parameter is deprecated, and it has no effect\n",
            "  warnings.warn(value)\n",
            "/usr/local/lib/python3.8/dist-packages/gradio/deprecation.py:40: UserWarning: `numeric` parameter is deprecated, and it has no effect\n",
            "  warnings.warn(value)\n",
            "/usr/local/lib/python3.8/dist-packages/gradio/outputs.py:22: UserWarning: Usage of gradio.outputs is deprecated, and will not be supported in the future, please import your components from gradio.components\n",
            "  warnings.warn(\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
            "\n",
            "To create a public link, set `share=True` in `launch()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "(async (port, path, width, height, cache, element) => {\n",
              "                        if (!google.colab.kernel.accessAllowed && !cache) {\n",
              "                            return;\n",
              "                        }\n",
              "                        element.appendChild(document.createTextNode(''));\n",
              "                        const url = await google.colab.kernel.proxyPort(port, {cache});\n",
              "\n",
              "                        const external_link = document.createElement('div');\n",
              "                        external_link.innerHTML = `\n",
              "                            <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
              "                                Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
              "                                    https://localhost:${port}${path}\n",
              "                                </a>\n",
              "                            </div>\n",
              "                        `;\n",
              "                        element.appendChild(external_link);\n",
              "\n",
              "                        const iframe = document.createElement('iframe');\n",
              "                        iframe.src = new URL(path, url).toString();\n",
              "                        iframe.height = height;\n",
              "                        iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
              "                        iframe.width = width;\n",
              "                        iframe.style.border = 0;\n",
              "                        element.appendChild(iframe);\n",
              "                    })(7860, \"/\", \"100%\", 500, false, window.element)"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "\n",
        "     ########## 2ND VERSION\n",
        "\n",
        "\n",
        "\n",
        "import gradio as gr\n",
        "\n",
        "def my_model(prompt):\n",
        "    openai.api_key = (\"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\") # replace you API key\n",
        "    response = openai.Completion.create(\n",
        "    model=\"text-davinci-003\",\n",
        "    prompt=prompt,\n",
        "    temperature=0.7,\n",
        "    max_tokens=4000,\n",
        "    top_p=1,\n",
        "    frequency_penalty=0,\n",
        "    presence_penalty=0\n",
        "    )\n",
        "    return response['choices'][0]['text']\n",
        "\n",
        "gr.Interface(fn=my_model, inputs=\"text\", outputs=\"text\").launch()\n",
        "\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 616
        },
        "id": "5OPKei2Bp8ie",
        "outputId": "1c0b532a-b06a-429b-ea45-2579bb4669f9"
      },
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
            "\n",
            "To create a public link, set `share=True` in `launch()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "(async (port, path, width, height, cache, element) => {\n",
              "                        if (!google.colab.kernel.accessAllowed && !cache) {\n",
              "                            return;\n",
              "                        }\n",
              "                        element.appendChild(document.createTextNode(''));\n",
              "                        const url = await google.colab.kernel.proxyPort(port, {cache});\n",
              "\n",
              "                        const external_link = document.createElement('div');\n",
              "                        external_link.innerHTML = `\n",
              "                            <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
              "                                Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
              "                                    https://localhost:${port}${path}\n",
              "                                </a>\n",
              "                            </div>\n",
              "                        `;\n",
              "                        element.appendChild(external_link);\n",
              "\n",
              "                        const iframe = document.createElement('iframe');\n",
              "                        iframe.src = new URL(path, url).toString();\n",
              "                        iframe.height = height;\n",
              "                        iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
              "                        iframe.width = width;\n",
              "                        iframe.style.border = 0;\n",
              "                        element.appendChild(iframe);\n",
              "                    })(7861, \"/\", \"100%\", 500, false, window.element)"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import gradio as gr\n",
        "import matplotlib.pyplot as plt\n",
        "from textblob import TextBlob\n",
        "\n",
        "def my_model(prompt):\n",
        "    openai.api_key = (\"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\") # replace you API key\n",
        "    response = openai.Completion.create(\n",
        "    model=\"text-davinci-003\",\n",
        "    prompt=prompt,\n",
        "    temperature=0.7,\n",
        "    max_tokens=4000,\n",
        "    top_p=1,\n",
        "    frequency_penalty=0,\n",
        "    presence_penalty=0\n",
        "    )\n",
        "    text = response['choices'][0]['text']\n",
        "    sentiment_scores = [TextBlob(text).sentiment.polarity]\n",
        "    plt.plot(sentiment_scores)\n",
        "    file_path = \"sentiment_scores.png\"\n",
        "    plt.savefig(file_path)\n",
        "    return text, file_path\n",
        "\n",
        "gr.Interface(fn=my_model, inputs=\"text\", outputs=[\"text\", \"file\"]).launch()\n"
      ],
      "metadata": {
        "id": "uJGwAq7R6jSn",
        "outputId": "232de80f-9d76-4054-d978-2978ece71185",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 616
        }
      },
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
            "Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
            "\n",
            "To create a public link, set `share=True` in `launch()`.\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "(async (port, path, width, height, cache, element) => {\n",
              "                        if (!google.colab.kernel.accessAllowed && !cache) {\n",
              "                            return;\n",
              "                        }\n",
              "                        element.appendChild(document.createTextNode(''));\n",
              "                        const url = await google.colab.kernel.proxyPort(port, {cache});\n",
              "\n",
              "                        const external_link = document.createElement('div');\n",
              "                        external_link.innerHTML = `\n",
              "                            <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
              "                                Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
              "                                    https://localhost:${port}${path}\n",
              "                                </a>\n",
              "                            </div>\n",
              "                        `;\n",
              "                        element.appendChild(external_link);\n",
              "\n",
              "                        const iframe = document.createElement('iframe');\n",
              "                        iframe.src = new URL(path, url).toString();\n",
              "                        iframe.height = height;\n",
              "                        iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
              "                        iframe.width = width;\n",
              "                        iframe.style.border = 0;\n",
              "                        element.appendChild(iframe);\n",
              "                    })(7862, \"/\", \"100%\", 500, false, window.element)"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": []
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**FastAPI**\n",
        "\n",
        "---\n",
        "\n"
      ],
      "metadata": {
        "id": "lTakkQ72ub-R"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install colabcode\n",
        "!pip install fastapi\n",
        "\n",
        "from colabcode import ColabCode\n",
        "from fastapi import FastAPI\n",
        "cc = ColabCode(port=12000, code=False)\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "fG0vRfJfpHHj",
        "outputId": "df38cd5b-5aa1-4f61-952b-ceebc336ae4c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: colabcode in /usr/local/lib/python3.8/dist-packages (0.3.0)\n",
            "Requirement already satisfied: nest-asyncio==1.4.3 in /usr/local/lib/python3.8/dist-packages (from colabcode) (1.4.3)\n",
            "Requirement already satisfied: pyngrok>=5.0.0 in /usr/local/lib/python3.8/dist-packages (from colabcode) (5.2.1)\n",
            "Requirement already satisfied: uvicorn==0.13.1 in /usr/local/lib/python3.8/dist-packages (from colabcode) (0.13.1)\n",
            "Requirement already satisfied: jupyterlab==3.0.7 in /usr/local/lib/python3.8/dist-packages (from colabcode) (3.0.7)\n",
            "Requirement already satisfied: jupyter-core in /usr/local/lib/python3.8/dist-packages (from jupyterlab==3.0.7->colabcode) (5.1.3)\n",
            "Requirement already satisfied: nbclassic~=0.2 in /usr/local/lib/python3.8/dist-packages (from jupyterlab==3.0.7->colabcode) (0.3.7)\n",
            "Requirement already satisfied: tornado>=6.1.0 in /usr/local/lib/python3.8/dist-packages (from jupyterlab==3.0.7->colabcode) (6.2)\n",
            "Requirement already satisfied: jupyter-server~=1.2 in /usr/local/lib/python3.8/dist-packages (from jupyterlab==3.0.7->colabcode) (1.23.5)\n",
            "Requirement already satisfied: jinja2>=2.10 in /usr/local/lib/python3.8/dist-packages (from jupyterlab==3.0.7->colabcode) (3.1.2)\n",
            "Requirement already satisfied: packaging in /usr/local/lib/python3.8/dist-packages (from jupyterlab==3.0.7->colabcode) (21.3)\n",
            "Requirement already satisfied: ipython in /usr/local/lib/python3.8/dist-packages (from jupyterlab==3.0.7->colabcode) (7.9.0)\n",
            "Requirement already satisfied: jupyterlab-server~=2.0 in /usr/local/lib/python3.8/dist-packages (from jupyterlab==3.0.7->colabcode) (2.19.0)\n",
            "Requirement already satisfied: click==7.* in /usr/local/lib/python3.8/dist-packages (from uvicorn==0.13.1->colabcode) (7.1.2)\n",
            "Requirement already satisfied: h11>=0.8 in /usr/local/lib/python3.8/dist-packages (from uvicorn==0.13.1->colabcode) (0.14.0)\n",
            "Requirement already satisfied: PyYAML in /usr/local/lib/python3.8/dist-packages (from pyngrok>=5.0.0->colabcode) (6.0)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.8/dist-packages (from jinja2>=2.10->jupyterlab==3.0.7->colabcode) (2.0.1)\n",
            "Requirement already satisfied: websocket-client in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (1.5.0)\n",
            "Requirement already satisfied: pyzmq>=17 in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (23.2.1)\n",
            "Requirement already satisfied: jupyter-client>=6.1.12 in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (6.1.12)\n",
            "Requirement already satisfied: argon2-cffi in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (21.3.0)\n",
            "Requirement already satisfied: Send2Trash in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (1.8.0)\n",
            "Requirement already satisfied: anyio<4,>=3.1.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (3.6.2)\n",
            "Requirement already satisfied: prometheus-client in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (0.15.0)\n",
            "Requirement already satisfied: nbconvert>=6.4.4 in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (7.2.9)\n",
            "Requirement already satisfied: nbformat>=5.2.0 in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (5.7.1)\n",
            "Requirement already satisfied: traitlets>=5.1 in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (5.7.1)\n",
            "Requirement already satisfied: terminado>=0.8.3 in /usr/local/lib/python3.8/dist-packages (from jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (0.13.3)\n",
            "Requirement already satisfied: platformdirs>=2.5 in /usr/local/lib/python3.8/dist-packages (from jupyter-core->jupyterlab==3.0.7->colabcode) (2.6.2)\n",
            "Requirement already satisfied: jsonschema>=4.17.3 in /usr/local/lib/python3.8/dist-packages (from jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (4.17.3)\n",
            "Requirement already satisfied: requests>=2.28 in /usr/local/lib/python3.8/dist-packages (from jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (2.28.2)\n",
            "Requirement already satisfied: json5>=0.9.0 in /usr/local/lib/python3.8/dist-packages (from jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (0.9.11)\n",
            "Requirement already satisfied: babel>=2.10 in /usr/local/lib/python3.8/dist-packages (from jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (2.11.0)\n",
            "Requirement already satisfied: importlib-metadata>=4.8.3 in /usr/local/lib/python3.8/dist-packages (from jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (6.0.0)\n",
            "Requirement already satisfied: notebook<7 in /usr/local/lib/python3.8/dist-packages (from nbclassic~=0.2->jupyterlab==3.0.7->colabcode) (6.4.5)\n",
            "Requirement already satisfied: notebook-shim>=0.1.0 in /usr/local/lib/python3.8/dist-packages (from nbclassic~=0.2->jupyterlab==3.0.7->colabcode) (0.2.2)\n",
            "Requirement already satisfied: pyparsing!=3.0.5,>=2.0.2 in /usr/local/lib/python3.8/dist-packages (from packaging->jupyterlab==3.0.7->colabcode) (3.0.9)\n",
            "Requirement already satisfied: decorator in /usr/local/lib/python3.8/dist-packages (from ipython->jupyterlab==3.0.7->colabcode) (4.4.2)\n",
            "Requirement already satisfied: setuptools>=18.5 in /usr/local/lib/python3.8/dist-packages (from ipython->jupyterlab==3.0.7->colabcode) (57.4.0)\n",
            "Requirement already satisfied: prompt-toolkit<2.1.0,>=2.0.0 in /usr/local/lib/python3.8/dist-packages (from ipython->jupyterlab==3.0.7->colabcode) (2.0.10)\n",
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            "Requirement already satisfied: pytz>=2015.7 in /usr/local/lib/python3.8/dist-packages (from babel>=2.10->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (2022.7)\n",
            "Requirement already satisfied: zipp>=0.5 in /usr/local/lib/python3.8/dist-packages (from importlib-metadata>=4.8.3->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (3.11.0)\n",
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            "Requirement already satisfied: pyrsistent!=0.17.0,!=0.17.1,!=0.17.2,>=0.14.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=4.17.3->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (0.19.3)\n",
            "Requirement already satisfied: importlib-resources>=1.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=4.17.3->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (5.10.2)\n",
            "Requirement already satisfied: attrs>=17.4.0 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=4.17.3->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (22.2.0)\n",
            "Requirement already satisfied: pkgutil-resolve-name>=1.3.10 in /usr/local/lib/python3.8/dist-packages (from jsonschema>=4.17.3->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (1.3.10)\n",
            "Requirement already satisfied: python-dateutil>=2.1 in /usr/local/lib/python3.8/dist-packages (from jupyter-client>=6.1.12->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (2.8.2)\n",
            "Requirement already satisfied: mistune<3,>=2.0.3 in /usr/local/lib/python3.8/dist-packages (from nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (2.0.4)\n",
            "Requirement already satisfied: bleach in /usr/local/lib/python3.8/dist-packages (from nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (5.0.1)\n",
            "Requirement already satisfied: pandocfilters>=1.4.1 in /usr/local/lib/python3.8/dist-packages (from nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (1.5.0)\n",
            "Requirement already satisfied: nbclient>=0.5.0 in /usr/local/lib/python3.8/dist-packages (from nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (0.7.2)\n",
            "Requirement already satisfied: tinycss2 in /usr/local/lib/python3.8/dist-packages (from nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (1.2.1)\n",
            "Requirement already satisfied: defusedxml in /usr/local/lib/python3.8/dist-packages (from nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (0.7.1)\n",
            "Requirement already satisfied: jupyterlab-pygments in /usr/local/lib/python3.8/dist-packages (from nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (0.2.2)\n",
            "Requirement already satisfied: beautifulsoup4 in /usr/local/lib/python3.8/dist-packages (from nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (4.6.3)\n",
            "Requirement already satisfied: fastjsonschema in /usr/local/lib/python3.8/dist-packages (from nbformat>=5.2.0->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (2.16.2)\n",
            "Requirement already satisfied: ipykernel in /usr/local/lib/python3.8/dist-packages (from notebook<7->nbclassic~=0.2->jupyterlab==3.0.7->colabcode) (5.3.4)\n",
            "Requirement already satisfied: ipython-genutils in /usr/local/lib/python3.8/dist-packages (from notebook<7->nbclassic~=0.2->jupyterlab==3.0.7->colabcode) (0.2.0)\n",
            "Requirement already satisfied: wcwidth in /usr/local/lib/python3.8/dist-packages (from prompt-toolkit<2.1.0,>=2.0.0->ipython->jupyterlab==3.0.7->colabcode) (0.2.5)\n",
            "Requirement already satisfied: six>=1.9.0 in /usr/local/lib/python3.8/dist-packages (from prompt-toolkit<2.1.0,>=2.0.0->ipython->jupyterlab==3.0.7->colabcode) (1.15.0)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.8/dist-packages (from requests>=2.28->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (2022.12.7)\n",
            "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.8/dist-packages (from requests>=2.28->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (2.1.1)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.8/dist-packages (from requests>=2.28->jupyterlab-server~=2.0->jupyterlab==3.0.7->colabcode) (1.24.3)\n",
            "Requirement already satisfied: ptyprocess in /usr/local/lib/python3.8/dist-packages (from terminado>=0.8.3->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (0.7.0)\n",
            "Requirement already satisfied: argon2-cffi-bindings in /usr/local/lib/python3.8/dist-packages (from argon2-cffi->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (21.2.0)\n",
            "Requirement already satisfied: cffi>=1.0.1 in /usr/local/lib/python3.8/dist-packages (from argon2-cffi-bindings->argon2-cffi->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (1.15.1)\n",
            "Requirement already satisfied: webencodings in /usr/local/lib/python3.8/dist-packages (from bleach->nbconvert>=6.4.4->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (0.5.1)\n",
            "Requirement already satisfied: pycparser in /usr/local/lib/python3.8/dist-packages (from cffi>=1.0.1->argon2-cffi-bindings->argon2-cffi->jupyter-server~=1.2->jupyterlab==3.0.7->colabcode) (2.21)\n",
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Requirement already satisfied: fastapi in /usr/local/lib/python3.8/dist-packages (0.89.1)\n",
            "Requirement already satisfied: starlette==0.22.0 in /usr/local/lib/python3.8/dist-packages (from fastapi) (0.22.0)\n",
            "Requirement already satisfied: pydantic!=1.7,!=1.7.1,!=1.7.2,!=1.7.3,!=1.8,!=1.8.1,<2.0.0,>=1.6.2 in /usr/local/lib/python3.8/dist-packages (from fastapi) (1.10.4)\n",
            "Requirement already satisfied: anyio<5,>=3.4.0 in /usr/local/lib/python3.8/dist-packages (from starlette==0.22.0->fastapi) (3.6.2)\n",
            "Requirement already satisfied: typing-extensions>=3.10.0 in /usr/local/lib/python3.8/dist-packages (from starlette==0.22.0->fastapi) (4.4.0)\n",
            "Requirement already satisfied: sniffio>=1.1 in /usr/local/lib/python3.8/dist-packages (from anyio<5,>=3.4.0->starlette==0.22.0->fastapi) (1.3.0)\n",
            "Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.8/dist-packages (from anyio<5,>=3.4.0->starlette==0.22.0->fastapi) (2.10)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from fastapi import FastAPI, HTTPException\n",
        "import openai\n",
        "\n",
        "app = FastAPI()\n",
        "\n",
        "@app.post(\"/openai_response/\")\n",
        "async def openai_response(prompt: str):\n",
        "    openai.api_key = (\"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\")\n",
        "    try:\n",
        "        response = openai.Completion.create(\n",
        "            model=\"text-davinci-003\",\n",
        "            prompt=prompt,\n",
        "            temperature=0.7,\n",
        "            max_tokens=4000,\n",
        "            top_p=1,\n",
        "            frequency_penalty=0,\n",
        "            presence_penalty=0\n",
        "        )\n",
        "    except openai.exceptions.OpenAiError as e:\n",
        "        raise HTTPException(status_code=500, detail=str(e))\n",
        "    return response['choices'][0]['text']"
      ],
      "metadata": {
        "id": "rjDP_LSNoLtO"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "cc.run_app(app=app)"
      ],
      "metadata": {
        "id": "kdCmiIAErJH_",
        "outputId": "052366aa-50b2-49cf-cadc-f9099ff3e26c",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "INFO:pyngrok.process.ngrok:t=2023-01-27T10:15:24+0000 lvl=info msg=start pg=/api/tunnels id=f3ed6c42f1762419\n",
            "2023-01-27 10:15:24.640 t=2023-01-27T10:15:24+0000 lvl=info msg=start pg=/api/tunnels id=f3ed6c42f1762419\n",
            "INFO:pyngrok.process.ngrok:t=2023-01-27T10:15:24+0000 lvl=info msg=end pg=/api/tunnels id=f3ed6c42f1762419 status=200 dur=211.774µs\n",
            "2023-01-27 10:15:24.647 t=2023-01-27T10:15:24+0000 lvl=info msg=end pg=/api/tunnels id=f3ed6c42f1762419 status=200 dur=211.774µs\n",
            "INFO:pyngrok.ngrok:Disconnecting tunnel: https://250e-35-231-184-223.ngrok.io\n",
            "2023-01-27 10:15:24.648 Disconnecting tunnel: https://250e-35-231-184-223.ngrok.io\n",
            "INFO:pyngrok.process.ngrok:t=2023-01-27T10:15:24+0000 lvl=info msg=start pg=/api/tunnels/http-8080-d4bd1bf8-a6d1-42fb-87ae-e6a8617250a4 id=c3ff4930d7b2b01b\n",
            "2023-01-27 10:15:24.661 t=2023-01-27T10:15:24+0000 lvl=info msg=start pg=/api/tunnels/http-8080-d4bd1bf8-a6d1-42fb-87ae-e6a8617250a4 id=c3ff4930d7b2b01b\n",
            "INFO:pyngrok.process.ngrok:t=2023-01-27T10:15:24+0000 lvl=info msg=end pg=/api/tunnels/http-8080-d4bd1bf8-a6d1-42fb-87ae-e6a8617250a4 id=c3ff4930d7b2b01b status=204 dur=34.720528ms\n",
            "2023-01-27 10:15:24.691 t=2023-01-27T10:15:24+0000 lvl=info msg=end pg=/api/tunnels/http-8080-d4bd1bf8-a6d1-42fb-87ae-e6a8617250a4 id=c3ff4930d7b2b01b status=204 dur=34.720528ms\n",
            "INFO:pyngrok.ngrok:Opening tunnel named: http-12000-ea1979a3-2be1-48db-90a9-e7515e4fe202\n",
            "2023-01-27 10:15:24.694 Opening tunnel named: http-12000-ea1979a3-2be1-48db-90a9-e7515e4fe202\n",
            "INFO:pyngrok.process.ngrok:t=2023-01-27T10:15:24+0000 lvl=info msg=start pg=/api/tunnels id=0382acb85480e4f9\n",
            "2023-01-27 10:15:24.701 t=2023-01-27T10:15:24+0000 lvl=info msg=start pg=/api/tunnels id=0382acb85480e4f9\n",
            "INFO:pyngrok.process.ngrok:t=2023-01-27T10:15:24+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=http-12000-ea1979a3-2be1-48db-90a9-e7515e4fe202 addr=http://localhost:12000 url=https://c52c-35-231-184-223.ngrok.io\n",
            "2023-01-27 10:15:24.736 t=2023-01-27T10:15:24+0000 lvl=info msg=\"started tunnel\" obj=tunnels name=http-12000-ea1979a3-2be1-48db-90a9-e7515e4fe202 addr=http://localhost:12000 url=https://c52c-35-231-184-223.ngrok.io\n",
            "INFO:pyngrok.process.ngrok:t=2023-01-27T10:15:24+0000 lvl=info msg=end pg=/api/tunnels id=0382acb85480e4f9 status=201 dur=37.931352ms\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Public URL: NgrokTunnel: \"https://c52c-35-231-184-223.ngrok.io\" -> \"http://localhost:12000\"\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "2023-01-27 10:15:24.742 t=2023-01-27T10:15:24+0000 lvl=info msg=end pg=/api/tunnels id=0382acb85480e4f9 status=201 dur=37.931352ms\n",
            "INFO:     Started server process [334]\n",
            "INFO:uvicorn.error:Started server process [334]\n",
            "2023-01-27 10:15:24.750 Started server process [334]\n",
            "INFO:     Waiting for application startup.\n",
            "INFO:uvicorn.error:Waiting for application startup.\n",
            "2023-01-27 10:15:24.757 Waiting for application startup.\n",
            "INFO:     Application startup complete.\n",
            "INFO:uvicorn.error:Application startup complete.\n",
            "2023-01-27 10:15:24.761 Application startup complete.\n",
            "INFO:     Uvicorn running on http://127.0.0.1:12000 (Press CTRL+C to quit)\n",
            "INFO:uvicorn.error:Uvicorn running on http://127.0.0.1:12000 (Press CTRL+C to quit)\n",
            "2023-01-27 10:15:24.766 Uvicorn running on http://127.0.0.1:12000 (Press CTRL+C to quit)\n",
            "INFO:pyngrok.process.ngrok:t=2023-01-27T10:16:58+0000 lvl=info msg=\"join connections\" obj=join id=68b6ff2e81ef l=127.0.0.1:12000 r=103.58.73.228:60510\n",
            "2023-01-27 10:16:58.174 t=2023-01-27T10:16:58+0000 lvl=info msg=\"join connections\" obj=join id=68b6ff2e81ef l=127.0.0.1:12000 r=103.58.73.228:60510\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "INFO:     103.58.73.228:0 - \"GET / HTTP/1.1\" 404 Not Found\n",
            "INFO:     103.58.73.228:0 - \"GET /favicon.ico HTTP/1.1\" 404 Not Found\n"
          ]
        }
      ]
    }
  ]
}