Update app.py

app.py

@@ -124,6 +124,41 @@ with gr.Blocks() as demo:
 
     output_text = gr.Textbox(label="🔍 Model Prediction", interactive=False)
 
+    def extract_features_from_file(file):
+    """Reads a text file and extracts numerical features."""
+    if file is None:
+        return "❌ Please upload a valid feature file."
+    
+    try:
+        # Read and process file contents
+        content = file.read().decode("utf-8").strip()
+        values = [float(x) for x in content.replace(",", " ").split()]
+        
+        # Check if we have exactly 30 features
+        if len(values) != 30:
+            return "❌ The file must contain exactly 30 numerical values."
+
+        return {feature_inputs[i]: values[i] for i in range(30)}
+
+    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)
+
+# 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])
+
+# 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
     """Toggle visibility of inputs based on model selection."""
     def toggle_inputs(choice):