def generate_paragraph_evaluate(paragraph, user_generate_paragraph_evaluate_prompt):

app.py

@@ -176,6 +176,33 @@ def generate_paragraph(topic_sentence, supporting_sentences, conclusion_sentence
     paragraph = f"{topic_sentence}\n{supporting_sentences}\n{conclusion_sentence}"
     return paragraph
 
+def generate_paragraph_evaluate(paragraph, user_generate_paragraph_evaluate_prompt):
+    """
+    根据用户输入的段落，调用OpenAI API生成相关的段落分析。
+    """
+    user_content = f"""
+        paragraph is {paragraph}
+        {user_generate_paragraph_evaluate_prompt}
+    """
+    messages = [
+        {"role": "system", "content": paragraph},
+        {"role": "user", "content": user_content}
+    ]
+
+    response_format = { "type": "json_object" }
+
+    request_payload = {
+        "model": "gpt-3.5-turbo",
+        "messages": messages,
+        "max_tokens": 500,
+        "response_format": response_format
+    }
+
+    response = OPEN_AI_CLIENT.chat.completions.create(**request_payload)
+    content = response.choices[0].message.content
+
+    return content
+
 with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column():