Update app.py

app.py

@@ -234,12 +234,14 @@ def classifyImage(input_image):
 
     # Add a batch dimension 
     input_array = tf.expand_dims(input_array, 0)  # (1, 224, 224, 3)
-    
+
+    temp = tf.nn.softmax(predictions).numpy()
+    print("SOFTMAX PREDICTIONS",temp)
     predictions = model.predict(input_array)[0]
     print(f"Predictions: {predictions}")
 
     # Sort predictions to get top 5
-    top_indices = np.argsort(predictions)[-5:]
+    top_indices = np.argsort(predictions)[-5:][::-1]
     
     # Prepare the top 5 predictions with their class names and percentages
     top_predictions = [(class_names[i], predictions[i] * 100) for i in top_indices]