Update app.py

app.py

@@ -623,8 +623,8 @@ def clean_response(response_text):
     # Remove the entire 'Document(metadata=...' and any mention of it from the response
     response_text = re.sub(r'Document\(metadata=\{.*?\},page_content=', '', response_text, flags=re.DOTALL)
 
-    # Extract top 5 fetched results (based on some identifier you have)
-    top_results = response_text.split('\n')[:5]  # Assuming top 5 results are first 5 lines of content
+    # Extract top 5 fetched results (assuming the top 5 results are the first 5 lines of content)
+    top_results = response_text.split('\n')[:5]  # Adjust this as per your actual data structure
 
     # Remove any unwanted escape characters like \u and \u00
     response_text = re.sub(r'\\u[0-9A-Fa-f]{4}', '', response_text)
@@ -640,20 +640,22 @@ def clean_response(response_text):
     cleaned_response = re.sub(r'\s+', ' ', response_text).strip()
 
     # Format the final response with bullet points
-    final_response = f"""
-Sure! Here is the response for your Query:
-• Document name - {document_name}
-• Page No - {page_number}
-• Top 5 Fetched Results:
-  {''.join([f'{i+1}. {result.strip()}\n' for i, result in enumerate(top_results)])}
-• Actual Response: {cleaned_response}
-"""
+    top_five_formatted = ''.join([f'{i+1}. {result.strip()}\n' for i, result in enumerate(top_results)])
+
+    final_response = (
+        f"Sure! Here is the response for your Query:\n"
+        f"• Document name - {document_name}\n"
+        f"• Page No - {page_number}\n"
+        f"• Top 5 Fetched Results:\n{top_five_formatted}"
+        f"• Actual Response - {cleaned_response}"
+    )
 
     return final_response
 
 
 
 
+
 # Define a new template specifically for GPT-4o-mini in VDB Details mode
 gpt4o_mini_template_details = f"""
 As a highly specialized assistant, I provide precise, detailed, and informative responses. On this bright day of {current_date}, I'm equipped to assist with all your queries about Birmingham, Alabama, offering detailed insights tailored to your needs.