import gradio as gr
import openai
import os

# 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")
)

# 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"
]

# 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)

# 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

# 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([])

        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]
    )

# 运行 Gradio 应用并设置公开访问
demo.launch(share=True)