main_gradio.py

import os
import gradio as gr
import random
import time
from pydantic import BaseModel
import openai
openai.api_key = os.environ["apikey"]

def chatgpt(input, chat_history):
    try:
        messages = []
        for message, bot_message in chat_history:
            messages.append({"role": "user", "content": message})
            messages.append({"role": "assistant", "content": bot_message})
        prompt = {"role": "user", "content": input}
        messages.append(prompt)
        result = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=messages)
        output = result.get('choices')[0].get('message').get('content')
    except Exception as e:
        output = str(e)
    return output


with gr.Blocks() as demo:
    chatbot = gr.Chatbot()
    msg = gr.Textbox()
    clear = gr.Button("Clear")

    def respond(message, chat_history):
        # bot_message = random.choice(["How are you?", "I love you", "I'm very hungry"])
        bot_message = chatgpt(message, chat_history)
        chat_history.append((message, bot_message))
        time.sleep(1)
        return "", chat_history

    msg.submit(respond, [msg, chatbot], [msg, chatbot])
    clear.click(lambda: None, None, chatbot, queue=False)

demo.launch(server_name='0.0.0.0')