Update app.py

app.py

@@ -24,7 +24,6 @@ scaler_path = os.path.join(script_dir, 'toolkit', 'scaler_X.json')
 rf_model_path = os.path.join(script_dir, 'toolkit', 'rf_model.joblib')
 mlp_model_path = os.path.join(script_dir, 'toolkit', 'mlp_model.keras')
 meta_model_path = os.path.join(script_dir, 'toolkit', 'meta_model.joblib')
-image_path = os.path.join(script_dir, 'toolkit', 'car.png')
 
 # Load the scaler and models
 try:
@@ -111,18 +110,10 @@ outputs = [
     gr.Textbox(label="Rear")
 ]
 
-interface = gr.Interface(
+gr.Interface(
     fn=gradio_interface, 
     inputs=inputs, 
     outputs=outputs, 
     title="Environmental Factor-Based Contamination Level Prediction",
     description="Enter the environmental factors to get the contamination levels for Front Left, Front Right, Left, Right, Roof, and Rear LiDARs."
-)
-
-with gr.Blocks() as demo:
-    with gr.Row():
-        interface.render()
-    with gr.Row():
-        gr.Image(image_path, width=500, height=300)  # Adjust the width and height as needed
-
-demo.launch()
+).launch()