Update app.py

app.py

@@ -1,64 +1,92 @@
 import gradio as gr
-from huggingface_hub import InferenceClient
+import openai
+import os
 
-"""
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
-"""
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# 从环境变量中获取密码
+ACCESS_PASSWORD = os.getenv("ACCESS_PASSWORD", "your_password_here")  # 默认值为"your_password_here"，仅测试用
 
+# 初始化 OpenAI 客户端
+client = openai.Client(
+    base_url=os.getenv("OPENAI_BASE_URL"),
+    api_key=os.getenv("OPENAI_API_KEY")
+)
 
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
+# 可用模型列表
+available_models = [
+    "gpt-3.5-turbo", "gpt-3.5-turbo-1106", "gpt-3.5-turbo-0125",
+    "gpt-3.5-turbo-16k", "gpt-3.5-turbo-16k-0613", "gpt-3.5-turbo-instruct",
+    "gpt-4", "gpt-4-0613", "gpt-4-1106-preview", "gpt-4-0125-preview",
+    "gpt-4-turbo-preview", "gpt-4-turbo", "gpt-4-turbo-2024-04-09",
+    "gpt-4o", "gpt-4o-2024-05-13", "gpt-4o-mini", "gpt-4o-mini-2024-07-18",
+    "text-embedding-ada-002", "text-embedding-3-small", "text-embedding-3-large",
+    "text-moderation-latest", "text-moderation-stable", "davinci-002", "babbage-002",
+    "dall-e-2", "dall-e-3", "whisper-1", "tts-1", "tts-1-1106", "tts-1-hd",
+    "tts-1-hd-1106", "o1-mini-2024-09-12", "o1-preview", "o1-mini",
+    "o1-preview-2024-09-12", "gpt-4o-2024-08-06", "chatgpt-4o-latest"
+]
 
-    response = ""
+# 定义与API交互的函数
+def generate_response(messages, model):
+    try:
+        response = client.chat.completions.create(
+            model=model,
+            messages=messages
+        )
+        return response.choices[0].message.content
+    except Exception as e:
+        return str(e)
 
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
+# 聊天处理函数
+def chat_fn(history, model, user_input):
+    history.append({"role": "user", "content": user_input})
+    bot_reply = generate_response(history, model)
+    history.append({"role": "assistant", "content": bot_reply})
+    chat_history = [(msg["content"], None) if msg["role"] == "user" else (None, msg["content"]) for msg in history]
+    return chat_history, history
 
-        response += token
-        yield response
+# 密码验证函数
+def check_password(input_password):
+    if input_password == ACCESS_PASSWORD:
+        return "", gr.update(visible=True), gr.update(visible=False), gr.update(visible=False)
+    else:
+        return "Incorrect password. Try again.", gr.update(visible=False), gr.update(visible=True), gr.update(visible=True)
 
+# 使用 Gradio Blocks 创建聊天界面
+with gr.Blocks() as demo:
+    gr.Markdown("# OpenAI Custom Chat API")
+    
+    # 密码输入和验证区域
+    password_input = gr.Textbox(
+        placeholder="Enter password...",
+        type="password",
+        show_label=False
+    )
+    submit_btn = gr.Button("Submit")
+    login_msg = gr.Textbox(visible=False, show_label=False)
+    
+    # 聊天界面部分
+    with gr.Column(visible=False) as chat_area:
+        model_selector = gr.Dropdown(
+            choices=available_models,
+            label="Select Model",
+            value="gpt-4o"
+        )
+        chatbot = gr.Chatbot(label="Chat with OpenAI")
+        state = gr.State([])
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+        with gr.Row():
+            user_input = gr.Textbox(show_label=False, placeholder="Type your message here...", lines=1)
+            send_btn = gr.Button("Send")
+        
+        send_btn.click(chat_fn, inputs=[state, model_selector, user_input], outputs=[chatbot, state], queue=False)
+        user_input.submit(chat_fn, inputs=[state, model_selector, user_input], outputs=[chatbot, state], queue=False)
 
+    # 提交密码按钮触发密码验证
+    submit_btn.click(
+        check_password,
+        inputs=password_input,
+        outputs=[login_msg, chat_area, password_input, submit_btn]
+    )
 
-if __name__ == "__main__":
-    demo.launch()
+# 运行 Gradio 应用并设置公开访问
+demo.launch(share=True)