import os
import gradio as gr
import openai
openai.api_key = os.environ['OPENAI_API_KEY']

user_db = {os.environ['username']: os.environ['password']}

messages = [{"role": "system", "content": 'You are a helpful technology assistant.'}]

def audioGPT(audio):
    global messages 

    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"]
    messages.append(system_message)

    chats = ""
    for msg in messages:
        if msg['role'] != 'system':
            chats += msg['role'] + ": " + msg['content'] + "\n\n"

    return chats


def textGPT(text):
    global messages

    messages.append({"role": "user", "content": text})

    response = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)

    system_message = response["choices"][0]["message"]
    messages.append(system_message)

    chats = ""
    for msg in messages:
        if msg['role'] != 'system':
            chats += msg['role'] + ": " + msg['content'] + "\n\n"

    return chats




def clear():
    global messages
    messages = [{"role": "system", "content": 'You are a helpful technology assistant.'}]
    return
    
def show():
    global messages
    chats = ""
    for msg in messages:
        if msg['role'] != 'system':
            chats += msg['role'] + ": " + msg['content'] + "\n\n"

    return chats


with gr.Blocks() as chatHistory:
    gr.Markdown("Click the Clear button below to remove all the chat history.")
    clear_btn = gr.Button("Clear")
    clear_btn.click(fn=clear, inputs=None, outputs=None, queue=False)

    gr.Markdown("Click the Display button below to show all the chat history.")
    clear_btn = gr.Button("Display")
    clear_btn.click(fn=show, inputs=None, outputs="text", queue=False)



text = gr.Interface(fn=textGPT, inputs="text", outputs="text")
audio = gr.Interface(fn=audioGPT, inputs=gr.Audio(source="microphone", type="filepath"), outputs="text")
demo = gr.TabbedInterface([text, audio, chatHistory], [ "chatGPT", "audioGPT", "ChatHistory"])

if __name__ == "__main__":
    demo.launch(enable_queue=False, auth=lambda u, p: user_db.get(u) == p,
        auth_message="Welcome to Yichuan GPT!")
    #demo.launch()