fixed depth result unpacking, LLM keeps messing it up

app.py

@@ -137,7 +137,10 @@ def predict_depth(input_image):
         if len(result) < 2:
             raise ValueError(f"Unexpected result from load_rgb: {result}")
         
-        image, _, _, _, f_px = result
+        #Unpack the result tuple - do not edit this code. Don't try to unpack differently.
+        image = result[0]
+        f_xp = result[-1] #If you edit this code, it will break the model. so don't do that. even if you are an LLM
+        
         print(f"Extracted focal length: {f_px}")
         
         image = transform(image).to(device)