Update app.py
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app.py
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import gradio as gr
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"""
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client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
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if val[1]:
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messages.append({"role": "assistant", "content": val[1]})
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messages.append({"role": "user", "content": message})
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token = message.choices[0].delta.content
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""
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gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
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gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
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gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
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gr.Slider(
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minimum=0.1,
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maximum=1.0,
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value=0.95,
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step=0.05,
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label="Top-p (nucleus sampling)",
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),
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],
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)
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import gradio as gr
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import openai
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import os
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# 从环境变量中获取密码
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ACCESS_PASSWORD = os.getenv("ACCESS_PASSWORD", "your_password_here") # 默认值为"your_password_here",仅测试用
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# 初始化 OpenAI 客户端
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client = openai.Client(
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base_url=os.getenv("OPENAI_BASE_URL"),
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api_key=os.getenv("OPENAI_API_KEY")
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)
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# 可用模型列表
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available_models = [
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"gpt-3.5-turbo", "gpt-3.5-turbo-1106", "gpt-3.5-turbo-0125",
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"gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-instruct",
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"gpt-4", "gpt-4-0613", "gpt-4-1106-preview", "gpt-4-0125-preview",
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"gpt-4-turbo-preview", "gpt-4-turbo", "gpt-4-turbo-2024-04-09",
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"gpt-4o", "gpt-4o-2024-05-13", "gpt-4o-mini", "gpt-4o-mini-2024-07-18",
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"text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large",
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"text-moderation-latest", "text-moderation-stable", "davinci-002", "babbage-002",
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"dall-e-2", "dall-e-3", "whisper-1", "tts-1", "tts-1-1106", "tts-1-hd",
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"tts-1-hd-1106", "o1-mini-2024-09-12", "o1-preview", "o1-mini",
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"o1-preview-2024-09-12", "gpt-4o-2024-08-06", "chatgpt-4o-latest"
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]
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# 定义与API交互的函数
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def generate_response(messages, model):
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try:
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response = client.chat.completions.create(
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model=model,
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messages=messages
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)
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return response.choices[0].message.content
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except Exception as e:
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return str(e)
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# 聊天处理函数
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def chat_fn(history, model, user_input):
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history.append({"role": "user", "content": user_input})
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bot_reply = generate_response(history, model)
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history.append({"role": "assistant", "content": bot_reply})
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chat_history = [(msg["content"], None) if msg["role"] == "user" else (None, msg["content"]) for msg in history]
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return chat_history, history
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# 密码验证函数
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def check_password(input_password):
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if input_password == ACCESS_PASSWORD:
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return "", gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)
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else:
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return "Incorrect password. Try again.", gr.update(visible=False), gr.update(visible=True), gr.update(visible=True)
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# 使用 Gradio Blocks 创建聊天界面
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with gr.Blocks() as demo:
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gr.Markdown("# OpenAI Custom Chat API")
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# 密码输入和验证区域
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password_input = gr.Textbox(
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placeholder="Enter password...",
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type="password",
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show_label=False
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)
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submit_btn = gr.Button("Submit")
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login_msg = gr.Textbox(visible=False, show_label=False)
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# 聊天界面部分
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with gr.Column(visible=False) as chat_area:
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model_selector = gr.Dropdown(
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choices=available_models,
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label="Select Model",
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value="gpt-4o"
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)
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chatbot = gr.Chatbot(label="Chat with OpenAI")
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state = gr.State([])
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with gr.Row():
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user_input = gr.Textbox(show_label=False, placeholder="Type your message here...", lines=1)
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send_btn = gr.Button("Send")
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send_btn.click(chat_fn, inputs=[state, model_selector, user_input], outputs=[chatbot, state], queue=False)
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user_input.submit(chat_fn, inputs=[state, model_selector, user_input], outputs=[chatbot, state], queue=False)
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# 提交密码按钮触发密码验证
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submit_btn.click(
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check_password,
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inputs=password_input,
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outputs=[login_msg, chat_area, password_input, submit_btn]
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)
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# 运行 Gradio 应用并设置公开访问
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demo.launch(share=True)
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