Upload app.py

app.py

@@ -36,6 +36,10 @@ def predict(img):
         img = cv2.resize(img, (img_size, img_size))
         img = img.reshape(1, img_size, img_size, 1)
         preds = model.predict(img)[0]
+
+        # Print the predictions
+        print("Predictions:", preds)
+
         return {label: float(pred) for label, pred in zip(labels, preds)}
     except Exception as e:
         # Print the exception to the console