import gradio as gr
import openai

# 设置OpenAI API密钥
openai.api_key = '你的OpenAI API密钥'

def generate_topic_sentences(sys_content, user_content, model="gpt-4-1106-preview", max_tokens=4000):
    """
    根据系统提示和用户输入的情境及主题，调用OpenAI API生成相关的主题句。
    """
    messages = [
        {"role": "system", "content": sys_content},
        {"role": "user", "content": user_content}
    ]

    request_payload = {
        "model": model,
        "messages": messages,
        "max_tokens": max_tokens,
    }

    response = openai.ChatCompletion.create(**request_payload)
    content = response.choices[0].message.content.strip()

    return content

with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
            scenario_input = gr.Textbox(label="Scenario")
            topic_input = gr.Textbox(label="Topic")
            eng_level_input = gr.Radio(["beginner", "intermediate", "advanced"], label="English Level")
            sys_content_input = gr.Textbox(label="System Prompt", value="You are an English teacher who is practicing with me to improve my English writing skill.")
            user_content_template = "Give me 10 topics relevant to {}, for a paragraph. Just the topics, no explanation, use simple English language. Make sure the vocabulary you use is at {}."
            generate_topics_button = gr.Button("Generate Topic Sentences")
        
        with gr.Column():
            output = gr.Textbox(label="Generated Topic Sentences")
    
    # 当用户点击生成按钮时执行的操作
    def on_generate_button_click(scenario, topic, eng_level, sys_content):
        user_content = user_content_template.format(scenario, eng_level)
        return generate_topic_sentences(sys_content, user_content)
    
    generate_topics_button.click(
        fn=on_generate_button_click,
        inputs=[scenario_input, topic_input, eng_level_input, sys_content_input],
        outputs=output
    )

demo.launch()