Update app.py

app.py

@@ -143,40 +143,6 @@ def preprocess_image(image):
 def get_akc_breeds_link():
     return "https://www.akc.org/dog-breeds/"
 
-# def predict(image):
-#     try:
-#         image_tensor = preprocess_image(image)
-#         with torch.no_grad():
-#             output = model(image_tensor)
-#             if isinstance(output, tuple):
-#                 logits = output[0]
-#             else:
-#                 logits = output
-#             _, predicted = torch.max(logits, 1) # predicted is the max value's index on dim=1
-#         breed = dog_breeds[predicted.item()]
-        
-#         description = get_dog_description(breed)
-#         akc_link = get_akc_breeds_link()
-        
-#         if isinstance(description, dict):
-#             description_str = "\n\n".join([f"**{key}**: {value}" for key, value in description.items()])
-#         else:
-#             description_str = description
-        
-#         # Add AKC link as an option
-#         description_str += f"\n\n**Want to learn more about dog breeds?** [Visit the AKC dog breeds page]({akc_link}) and search for {breed} to find detailed information."
-        
-#         # Add disclaimer
-#         disclaimer = ("\n\n*Disclaimer: The external link provided leads to the American Kennel Club (AKC) dog breeds page. "
-#                       "You may need to search for the specific breed on that page. "
-#                       "I am not responsible for the content on external sites. "
-#                       "Please refer to the AKC's terms of use and privacy policy.*")
-#         description_str += disclaimer
-        
-#         return description_str
-#     except Exception as e:
-#         return f"An error occurred: {e}"
-
 def predict(image):
     try:
         image_tensor = preprocess_image(image)