init

app.py

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+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()

requuirements.txt

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+gradio
+openai>=1.0.0
+