Update api.py

api.py

@@ -294,6 +294,7 @@ async def analyze_endpoint(
         # A. Blur Check
         gray = cv2.cvtColor(img_np, cv2.COLOR_RGB2GRAY)
         blur_score = cv2.Laplacian(gray, cv2.CV_64F).var()
+        is_blur_spam = bool(blur_score < 100.0)
         
         # Call Advanced Spam Check
         is_spam, spam_reasons = check_spam_status(user_email, current_time, blur_score)
@@ -391,28 +392,28 @@ async def analyze_endpoint(
         
         # Line 1: Identification
         if primary_issue != "Unknown":
-            summary_lines.append(f"**Identification**: AI detected **{primary_issue}** with **{int(max_conf*100)}% confidence**.")
+            summary_lines.append(f"Identification: AI detected {primary_issue} with {int(max_conf*100)}% confidence.")
         else:
-            summary_lines.append("**Identification**: No specific civic issue could be confidently identified.")
+            summary_lines.append("Identification: No specific civic issue could be confidently identified.")
             
         # Line 2: Quality Analysis
         if is_blur_spam:
-            summary_lines.append(f"**Image Quality**: Poor/Blurry (Score: {int(blur_score)}/100). Please retake.")
+            summary_lines.append(f"Image Quality: Poor/Blurry (Score: {int(blur_score)}/100). Please retake.")
         else:
-            summary_lines.append(f"**Image Quality**: Good clarity (Score: {int(blur_score)}/100).")
+            summary_lines.append(f"Image Quality: Good clarity (Score: {int(blur_score)}/100).")
             
         # Line 3: Assessment
-        summary_lines.append(f"**Assessment**: Rated as **{severity} severity**, routed to **{department}**.")
+        summary_lines.append(f"Assessment: Rated as {severity} severity, routed to {department}.")
         
         # Line 4: Status/Warnings
         status_parts = []
         if is_duplicate:
-            status_parts.append(f"**Duplicate**: {dup_reason}.")
+            status_parts.append(f"Duplicate: {dup_reason}.")
         if is_spam:
-            status_parts.append(f"**Spam Flag**: {spam_reason_str}.")
+            status_parts.append(f"Spam Flag: {spam_reason_str}.")
         
         if not status_parts:
-            status_parts.append("**Status**: Verified as a unique, valid report.")
+            status_parts.append("Status: Verified as a unique, valid report.")
             
         summary_lines.append(" ".join(status_parts))