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Update app.py
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app.py
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import gradio as gr
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import random
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#
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#
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import os
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import gradio as gr
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# 安裝 groq 套件
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try:
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from groq import Groq
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except ImportError:
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os.system('pip install groq')
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from groq import Groq
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# 設置 API 金鑰
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groq_key = os.getenv("groq_key")
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client = Groq(api_key=groq_key)
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# 定義聊天機器人回應函式
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def chat_response(message, history):
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"""
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用戶端聊天回應函式,與 groq 客戶端交互。
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:param message: 用戶輸入的訊息。
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:param history: 聊天歷史記錄。
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:return: 更新的聊天歷史。
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"""
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# 構建訊息歷史
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messages = [
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{"role": "system", "content": "我是國文老師,很會批改作文"}
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]
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# 加入歷史訊息
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for user_msg, bot_msg in history:
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messages.append({"role": "user", "content": user_msg})
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messages.append({"role": "assistant", "content": bot_msg})
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# 加入當前用戶訊息
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messages.append({"role": "user", "content": message})
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# 生成回應
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try:
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completion = client.chat.completions.create(
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model="llama-3.1-70b-versatile",
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messages=messages,
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temperature=1,
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max_tokens=1024,
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top_p=1,
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stream=True,
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stop=None,
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)
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# 解析並累積回應
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bot_message = ""
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for chunk in completion:
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if chunk.choices[0].delta.content:
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bot_message += chunk.choices[0].delta.content
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history.append((message, bot_message))
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except Exception as e:
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# 如果請求出錯,回應錯誤訊息
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history.append((message, f"Error: {str(e)}"))
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return history, history
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# 構建 Gradio 界面
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with gr.Blocks() as demo:
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chatbot = gr.Chatbot(label="Groq 國文老師 Chatbot")
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message = gr.Textbox(label="輸入你的訊息")
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state = gr.State([])
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def user_input(user_message, history):
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"""
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用戶輸入訊息,更新歷史。
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:param user_message: 用戶的輸入訊息。
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:param history: 聊天歷史記錄。
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:return: 更新後的聊天歷史。
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"""
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return "", history + [[user_message, None]]
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message.submit(user_input, [message, state], [message, state]) \
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.then(chat_response, [message, state], [chatbot, state])
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# 啟動應用程式
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if __name__ == "__main__":
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demo.launch()
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