app.py

import openai
import gradio as gr
import os
openai.api_key =  os.environ.get("openai_key")

def transcribe(audio):
    messages = [ { "role": "system", "content":"You are a helpful therapist. I am very concise and give short answers."} ]
    system_message = ""
    audio_file = open(audio, "rb")
    transcript = openai.Audio.transcribe("whisper-1", audio_file)

    messages.append({"role": "user", "content": transcript["text"]})
    response = openai.ChatCompletion.create(
        model="gpt-3.5-turbo",
        messages=messages
    )

    system_message = response["choices"][0]["message"]["content"]

    messages.append({ "role": "assistant", "content": system_message })

    chat_transcript = ""
    for message in messages:
        if message['role'] != 'system':
            chat_transcript += message['role'] + ": " + message['content'] + "\n----------------------\n"
    # subprocess.call(["say", system_message])
    return chat_transcript


ui = gr.Interface(fn=transcribe, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text")
ui.launch()