binaryfarmer/Chatbot

1import openai2import pyttsx33 4openai.api_key = "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"5 6#   Global variable to hold the chat history, initialise with system role7conversation = [8        {"role": "system", "content": "You are an intelligent professor."}9        ]10 11#   transcribe function to record the audio input12 13def transcribe(audio):14    print(audio)15 16#   Whisper API17 18    audio_file = open(audio, "rb")19    transcript = openai.Audio.transcribe("whisper-1", audio_file)20 21 22    print(transcript)23 24#   ChatGPT API25 26#   append user's inut to conversation27    conversation.append({"role": "user", "content": transcript["text"]})28 29    response = openai.ChatCompletion.create(30    model="gpt-3.5-turbo",31    messages=conversation32    )33    34    print(response)35 36#   system_message is the response from ChatGPT API37    system_message = response["choices"][0]["message"]["content"]38 39#   append ChatGPT response (assistant role) back to conversation40    conversation.append({"role": "assistant", "content": system_message})41 42 43#   Text to speech44    engine = pyttsx3.init()45    engine.setProperty("rate", 150)46    engine.setProperty("voice", "english-us")47    engine.save_to_file(system_message, "response.mp3")48    engine.runAndWait()49 50    return "response.mp3"