app.py

import os
import openai
import gradio as gr
from gradio import ChatInterface
from google.colab import userdata

# 設定 OpenAI API key - 從環境變數獲取
openai.api_key = os.environ['OPENAI_API_KEY']

def predict(inputs, chatbot):
    messages = []
    
    # 建立對話歷史
    for conv in chatbot:
        messages.append({"role": "user", "content": conv[0]})
        messages.append({"role": "assistant", "content": conv[1]})
    
    # 加入新的用戶輸入
    messages.append({"role": "user", "content": inputs})

    try:
        # 建立 ChatCompletion 請求
        response = openai.ChatCompletion.create(
            model='gpt-4',
            messages=messages,
            temperature=1.0,
            stream=True
        )

        partial_message = ""
        for chunk in response:
            if 'choices' in chunk and len(chunk['choices']) > 0:
                if 'delta' in chunk['choices'][0] and 'content' in chunk['choices'][0]['delta']:
                    content = chunk['choices'][0]['delta']['content']
                    partial_message += content
                    yield partial_message

    except Exception as e:
        yield f"發生錯誤: {str(e)}"

# 創建和啟動聊天界面
chat_interface = gr.ChatInterface(
    predict,
    chatbot=gr.Chatbot(height=600),
    title="AI 聊天助手",
    description="請輸入您的問題",
)

if __name__ == "__main__":
    chat_interface.launch()