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Create app.py
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app.py
ADDED
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import os
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import json
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import gradio as gr
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import requests
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from sseclient import SSEClient
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from dotenv import load_dotenv
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# 加载环境变量
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load_dotenv()
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# API配置
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API_URL = os.getenv("API_URL", "https://your-api-endpoint/v1/chat/completions")
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API_KEY = os.getenv("API_KEY", "your-api-key")
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def format_message(role, content):
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return {"role": role, "content": content}
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class ChatBot:
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def __init__(self):
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self.headers = {
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"Authorization": f"Bearer {API_KEY}",
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"Content-Type": "application/json"
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}
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def generate_stream(self, messages):
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data = {
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"model": "gpt-3.5-turbo", # 或其他模型
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"messages": messages,
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"stream": True,
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"temperature": 0.7
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}
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response = requests.post(
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API_URL,
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headers=self.headers,
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json=data,
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stream=True
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)
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client = SSEClient(response)
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return client
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def chat_stream(message, history):
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chatbot = ChatBot()
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# 构建消息历史
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messages = []
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for human, assistant in history:
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messages.append(format_message("user", human))
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messages.append(format_message("assistant", assistant))
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messages.append(format_message("user", message))
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# 流式响应
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response_stream = chatbot.generate_stream(messages)
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partial_message = ""
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for event in response_stream:
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if event.data != "[DONE]":
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try:
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chunk = json.loads(event.data)
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if chunk and "choices" in chunk:
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delta = chunk["choices"][0]["delta"]
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if "content" in delta:
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partial_message += delta["content"]
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yield partial_message
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except json.JSONDecodeError:
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continue
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return partial_message
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# Gradio界面配置
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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chatbot = gr.Chatbot(
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height=600,
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show_copy_button=True,
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avatar_images=["assets/user.png", "assets/assistant.png"],
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)
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msg = gr.Textbox(
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placeholder="在这里输入您的问题...",
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container=False,
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scale=7,
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)
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with gr.Row():
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submit = gr.Button("发送", scale=2, variant="primary")
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clear = gr.Button("清除对话", scale=1)
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# 事件处理
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msg.submit(
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chat_stream,
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[msg, chatbot],
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[chatbot],
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api_name="chat"
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).then(
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lambda: "",
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None,
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[msg],
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api_name="clear_input"
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)
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submit.click(
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chat_stream,
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[msg, chatbot],
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[chatbot],
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).then(
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lambda: "",
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None,
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[msg],
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)
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clear.click(lambda: None, None, chatbot)
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# 启动应用
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if __name__ == "__main__":
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demo.queue().launch()
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