diff --git a/scripts/ai.py b/scripts/ai.py
new file mode 100644
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+++ b/scripts/ai.py
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+# Made by Toasty | 614 eShop x Dawnstar
+
+from os import system
+import speech_recognition as sr
+from playsound import playsound
+from gpt4all import GPT4All
+import sys
+import whisper
+import warnings
+import time
+import os
+
+wake_word = 'friday'
+model = GPT4All("/Users/Toasty/AppData/Local/nomic.ai/GPT4All/ggml-model-gpt4all-falcon-q4_0.bin")# this is mine. Won't work
+# Windows /Users/YourUser/AppData/Local/nomic.ai/GPT4All
+# MacOS "Users/Toasty/Library/Application Support/nomic.ai/GPT4All"
+r = sr.Recognizer()
+tiny_model = whisper.load_model('tiny')
+base_model = whisper.load_model('base')
+listening_for_wake_word = True
+source = sr.Microphone()
+
+if sys.platform != 'darwin':
+    import pyttsx3
+    engine = pyttsx3.init() 
+
+def speak(text): # if MacOS
+    if sys.platform == 'darwin': 
+        ALLOWED_CHARS = set("abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789.,?!-_$:+-/ ")
+        clean_text = ''.join(c for c in text if c in ALLOWED_CHARS)
+        system(f"say '{clean_text}'")
+    else:
+        engine.say(text) # if Windows/Linux
+        engine.runAndWait()
+
+def listen_for_wake_word(audio): # <-- records your audio prompt and saves it.
+    global listening_for_wake_word
+    with open("wake_detect.wav", "wb") as f:
+        f.write(audio.get_wav_data())
+    result = tiny_model.transcribe('wake_detect.wav')
+    text_input = result['text']
+    if wake_word in text_input.lower().strip():
+        print("Hello Sir, Please tell me how I may assist you today.")
+        speak('Listening')
+        listening_for_wake_word = False
+
+def prompt_gpt(audio): # <-- records your audio prompt and saves it.
+    global listening_for_wake_word
+    try:
+        with open("prompt.wav", "wb") as f:
+            f.write(audio.get_wav_data())
+        result = base_model.transcribe('prompt.wav')
+        prompt_text = result['text']
+        if len(prompt_text.strip()) == 0:
+            print("Empty prompt. Please speak again.")
+            speak("Empty prompt. Please speak again.")
+            listening_for_wake_word = True
+        else:
+            print('User: ' + prompt_text)
+            output = model.generate(prompt_text, max_tokens=200)
+            print('F.R.I.D.A.Y.: ', output)
+            speak(output)
+            print('\nSay', wake_word, 'to get started. \n')
+            listening_for_wake_word = True
+    except Exception as e:
+        print("Prompt error: ", e)
+
+def callback(recognizer, audio):
+    global listening_for_wake_word
+    if listening_for_wake_word:
+        listen_for_wake_word(audio)
+    else:
+        prompt_gpt(audio)
+
+def start_listening():
+    with source as s:
+        r.adjust_for_ambient_noise(s, duration=2)
+        print('\nSay', wake_word, 'to get started. \n')
+        
+        global listening_for_wake_word
+        while True: 
+            audio = r.listen(s) # <-- working on other method
+            if listening_for_wake_word:
+                listen_for_wake_word(audio)
+            else:
+                prompt_gpt(audio)
+            time.sleep(1)
+
+if __name__ == '__main__':
+    start_listening() 
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