Update app.py

app.py

@@ -66,6 +66,7 @@
     
 #     # Process the image
 #     with gr.spinner("Analyzing image..."):
+
 #         result = process_image(img_byte_arr, api_key)
         
 #         if result and result['status'] == 'SUCCESS':
@@ -151,7 +152,7 @@ def process_image(image):
         
         if 'data' in result and len(result['data']) > 0:
             first_result = result['data'][0]
-            if 'is_ai_generated' in first_result:
+            if '**is_ai_generated**' in first_result:
                 confidence = first_result['is_ai_generated']
                 sources = first_result.get('possible_sources', {})
                 
@@ -161,7 +162,7 @@ def process_image(image):
                 result_message += f"\n Confidence score: {confidence:.2%}\n\n"
                 
                 if is_ai_generated == "Yes" and sources:
-                    result_message += "\n Top possible AI models used:\n"
+                    result_message += "\n **Top possible AI models used** :\n"
                     sorted_sources = sorted(sources.items(), key=lambda x: x[1], reverse=True)[:3]
                     for source, prob in sorted_sources:
                         if prob > 0.01: