Update app.py

app.py

@@ -28,7 +28,7 @@ def analyze_coloring_trends(search_query='adult coloring books', region='US'):
 
     for category in coloring_categories:
         try:
-            print(f"Fetching data for category: {category}")
+            print(f"Fetching data for category: {category} in region: {region}")
             
             # Build payload with extended timeframe to capture more trends
             pytrends.build_payload(
@@ -40,9 +40,10 @@ def analyze_coloring_trends(search_query='adult coloring books', region='US'):
             
             # Fetch related queries
             related_queries = pytrends.related_queries()
+            print(f"Related queries for {category}: {related_queries}")
             
             # Ensure data exists for the category
-            if related_queries and related_queries[category]['top'] is not None:
+            if related_queries and related_queries.get(category, {}).get('top') is not None:
                 for row in related_queries[category]['top'].itertuples():
                     trending_keywords[row.query] += row.value
                     results.append({
@@ -51,7 +52,7 @@ def analyze_coloring_trends(search_query='adult coloring books', region='US'):
                         'category': category
                     })
             else:
-                print(f"No data for category: {category}")
+                print(f"No data for category: {category} in region: {region}")
             
             time.sleep(3)  # Increase delay to avoid rate limiting
         
@@ -64,6 +65,7 @@ def analyze_coloring_trends(search_query='adult coloring books', region='US'):
     
     # If DataFrame is empty, handle the case gracefully
     if df.empty:
+        print("No data available for the selected category in this region.")
         return "No data available for the selected category in this region.", "", ""
     
     # Create bar chart visualization