Update app.py

app.py

@@ -143,20 +143,20 @@ with gr.Blocks() as demo:
     except Exception as e:
         return f"❌ Error processing file: {e}"
 
-# Add file upload component
-file_input = gr.File(label="📂 Upload Feature File (for NN)", type="binary", visible=False)
+    # Add file upload component
+    file_input = gr.File(label="📂 Upload Feature File (for NN)", type="binary", visible=False)
 
-# Update UI logic to show file input for NN model
-def toggle_inputs(choice):
-    image_visibility = choice == "ViT"
-    feature_visibility = choice == "Neural Network"
-    file_visibility = choice == "Neural Network"
-    return [gr.update(visible=image_visibility)] + [gr.update(visible=feature_visibility)] * len(feature_inputs) + [gr.update(visible=file_visibility)]
+    # Update UI logic to show file input for NN model
+    def toggle_inputs(choice):
+        image_visibility = choice == "ViT"
+        feature_visibility = choice == "Neural Network"
+        file_visibility = choice == "Neural Network"
+        return [gr.update(visible=image_visibility)] + [gr.update(visible=feature_visibility)] * len(feature_inputs) + [gr.update(visible=file_visibility)]
 
-model_selector.change(toggle_inputs, model_selector, [image_input, *feature_inputs, file_input])
+    model_selector.change(toggle_inputs, model_selector, [image_input, *feature_inputs, file_input])
 
-# Process uploaded file and populate feature fields
-file_input.change(extract_features_from_file, file_input, feature_inputs)
+    # Process uploaded file and populate feature fields
+    file_input.change(extract_features_from_file, file_input, feature_inputs)
 
 
     # Toggle input fields based on model selection