Update app.py

app.py

@@ -167,6 +167,7 @@ def get_predicted_attributes(image_urls, category):
         responses = pipe(image_urls, candidate_labels=values_formatted)
         result = [response[0]['label'].split(", clothing:")[0] for response in responses]
         common_result.append(Counter(result).most_common(1))
+        print("Common Result:", common_result)
 
         # If attribute is details, then remove the obtained label from the values, and get the next most common
         if attribute == "details":
@@ -174,6 +175,7 @@ def get_predicted_attributes(image_urls, category):
             responses = pipe(image_urls, candidate_labels=values_formatted)
             i = 0
             while len(responses) > 0 and responses[0][0]['score'] > 0.8 and i < 2:
+                print("Common Result:", common_result)
                 result = [response[0]['label'].split(", clothing:")[0] for response in responses]
                 common_result.append(Counter(result).most_common(1))