def generate_supporting_sentences(model, max_tokens, sys_content, scenario, eng_level, topic, points, topic_sentence, user_generate_supporting_sentences_prompt):

app.py

@@ -113,6 +113,34 @@ def parse_and_display_topic_sentences(json_data):
     
     return formatted_text
 
+def generate_supporting_sentences(model, max_tokens, sys_content, scenario, eng_level, topic, points, topic_sentence, user_generate_supporting_sentences_prompt):
+    """
+    根据系统提示和用户输入的情境、主题、要点、主题句，调用OpenAI API生成相关的支持句。
+    """
+    user_content = f"""
+        scenario is {scenario}
+        english level is {eng_level}
+        topic is {topic}
+        points is {points}
+        topic sentence is {topic_sentence}
+        {user_generate_supporting_sentences_prompt}
+    """
+    messages = [
+        {"role": "system", "content": sys_content},
+        {"role": "user", "content": user_content}
+    ]
+
+    request_payload = {
+        "model": model,
+        "messages": messages,
+        "max_tokens": max_tokens,
+    }
+
+    response = OPEN_AI_CLIENT.chat.completions.create(**request_payload)
+    content = response.choices[0].message.content.strip()
+
+    return content
+
 with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():
@@ -164,11 +192,25 @@ with gr.Blocks() as demo:
             user_generate_topic_sentences_prompt = gr.Textbox(label="Topic Sentences Prompt", value=default_generate_topic_sentences_prompt)
             generate_topic_sentences_button = gr.Button("Generate Topic Sentences")
 
-        
+            gr.Markdown("## 5. Generate Supporting Sentence")
+            topic_sentence_input = gr.Textbox(label="Topic Sentences")
+            default_generate_supporting_sentences_prompt = """
+                I'm aiming to improve my writing. I have a topic sentence as topic_sentence_input. 
+                Please assist me by "Developing supporting detials" based on the keyword: points to write three sentences as an example.
+                - Make sure any revised vocabulary aligns with the eng_level. 
+                - Guidelines for Length and Complexity: 
+                Please keep the example concise and straightforward, 
+                avoiding overly technical language. 
+                Total word-count is around 50.           
+            """
+            user_generate_supporting_sentences_prompt = gr.Textbox(label="Supporting Sentences Prompt", value=default_generate_supporting_sentences_prompt)
+            generate_supporting_sentences_button = gr.Button("Generate Supporting Sentences")
+
         with gr.Column():
             topic_output = gr.Textbox(label="Generated Topic")
             points_output = gr.Textbox(label="Generated Points")
             topic_sentence_output = gr.Textbox(label="Generated Topic Sentences")
+            supporting_sentences_output = gr.Textbox(label="Generated Supporting Sentences")
 
     
     generate_topics_button.click(
@@ -213,4 +255,20 @@ with gr.Blocks() as demo:
         outputs=topic_sentence_output
     )
 
+    generate_supporting_sentences_button.click(
+        fn=generate_supporting_sentences,
+        inputs=[
+            model, 
+            max_tokens, 
+            sys_content_input, 
+            scenario_input, 
+            eng_level_input,
+            topic_input, 
+            points_input,
+            topic_sentence_input,
+            user_generate_supporting_sentences_prompt
+        ],
+        outputs=supporting_sentences_output
+    )
+
 demo.launch()