prompt change

server/utils/summarize.py

@@ -33,11 +33,14 @@ def summarize(all_text: str):
 
 
 def summarize_week(all_text: str):
+    import openai
+
     MAX_WORDS = 90000  # Keep buffer for OpenAI token limit
     all_text = " ".join(all_text.split()[:MAX_WORDS])
-    new_text=" ".join(all_text.split())
+    new_text = " ".join(all_text.split())
     print(len(new_text))
-    if len(new_text)==0:
+
+    if len(new_text) == 0:
         return None
 
     model_name = "gpt-4o-mini"
@@ -45,19 +48,42 @@ def summarize_week(all_text: str):
     response = client.chat.completions.create(
         model=model_name,
         messages=[
-            {"role": "system", "content": "You are an AI that summarizes long emails related to the topic and write an article"},
-            {"role": "user", "content": f"The context is: {new_text} \n Summarize the above mentioned context and write a beautiful breife article understanding from the context"}
+            {
+                "role": "system",
+                "content": (
+                    "You are an AI designed to summarize long emails or documents "
+                    "and format them into a **professional, beautiful article** written in **Markdown**. "
+                    "Structure the article systematically with a clear title, sections, bullet points, and conclusion."
+                )
+            },
+            {
+                "role": "user",
+                "content": (
+                    f"The context is: {new_text}\n\n"
+                    "Please summarize the above content into a **well-structured Markdown article** with:\n"
+                    "- A clear title\n"
+                    "- Proper headings (##)\n"
+                    "- Bullet points (where needed)\n"
+                    "- Bold text (**text**)\n"
+                    "- Italic (*text*)\n"
+                    "- Unordered list (- Item 1) \n"
+                    "- A conclusion\n"
+                    "- Keep it engaging but concise.\n"
+                    "- Use Markdown formatting properly.\n"
+                    "- Avoid unnecessary repetition.\n"
+                )
+            }
         ],
         max_tokens=2000
     )
 
-    # Extract structured JSON response
     final_summary = response.choices[0].message.content.strip()
     return final_summary
 
 
 
 
+
 if __name__=="__main__":
     text="""
             Hello City Council,