import gradio as gr import os import json import requests from typing import List, Dict # 環境變數設置 XAI_API_KEY = os.getenv("XAI_API_KEY") if not XAI_API_KEY: raise ValueError("Please set XAI_API_KEY environment variable") def call_grok_api(messages: List[Dict]) -> str: """調用Grok API""" headers = { "Content-Type": "application/json", "Authorization": f"Bearer {XAI_API_KEY}" } data = { "messages": messages, "model": "grok-beta", "stream": False, "temperature": 0.7 # 可以調整此值來控制回答的創造性 } try: response = requests.post( "https://api.x.ai/v1/chat/completions", headers=headers, json=data ) response.raise_for_status() return response.json()["choices"][0]["message"]["content"] except requests.exceptions.RequestException as e: return f"Error calling Grok API: {str(e)}" def format_history(history: List[Dict]) -> List[Dict]: """將Gradio的歷史記錄格式化為Grok API需要的格式""" formatted_messages = [ { "role": "system", "content": "You are Grok, a chatbot inspired by the Hitchhikers Guide to the Galaxy." } ] for msg in history: formatted_messages.append({ "role": "user" if msg["role"] == "user" else "assistant", "content": msg["content"] }) return formatted_messages def respond(message: str, history: List[Dict]) -> Dict: """處理用戶輸入並生成回應""" history.append({"role": "user", "content": message}) # 格式化消息歷史 formatted_history = format_history(history) # 獲取Grok的回應 response = call_grok_api(formatted_history) # 添加助手回應到歷史記錄 history.append({"role": "assistant", "content": response}) return history # 創建Gradio界面 with gr.Blocks() as demo: gr.Markdown(""" # Grok Chatbot 與Elon Musk的Grok AI聊天!這個聊天機器人使用了xAI的Grok API。 """) chatbot = gr.Chatbot( value=[], bubble_full_width=False, avatar_images=(None, "🤖"), height=500 ) msg = gr.Textbox( placeholder="輸入訊息...", container=False, scale=7 ) clear = gr.ClearButton([msg, chatbot], variant="secondary", scale=1) msg.submit(respond, [msg, chatbot], [chatbot], api_name="chat") demo.queue() # 啟動應用 if __name__ == "__main__": demo.launch()