Add Deep Learning intro py file

app.py

@@ -160,16 +160,16 @@ def main():
         st.write(f"R-squared (Deep Model R2): {r2_deep:.2f}")
 
         # Show the model summary
-        st.markdown("**Deep Learning Model Summary**")
-        plot_path = "deep_model_plot.png"
-        plot_model(deep_model, to_file=plot_path, show_shapes=True, show_layer_names=True)
-
-        # Display the plot in Streamlit
-        if os.path.exists(plot_path):
-            image = Image.open(plot_path)
-            st.image(image, caption="Keras Sequential Model Architecture", use_column_width='auto')
-        else:
-            st.warning("Model plot could not be generated. Ensure pydot and graphviz are installed.")
+        # st.markdown("**Deep Learning Model Summary**")
+        # plot_path = "deep_model_plot.png"
+        # plot_model(deep_model, to_file=plot_path, show_shapes=True, show_layer_names=True)
+
+        # # Display the plot in Streamlit
+        # if os.path.exists(plot_path):
+        #     image = Image.open(plot_path)
+        #     st.image(image, caption="Keras Sequential Model Architecture", use_column_width='auto')
+        # else:
+        #     st.warning("Model plot could not be generated. Ensure pydot and graphviz are installed.")
             
     with st.expander("📊 Model Performance Comparison and Key Improvements"):
         st.markdown("###### 🔑 Key Notes on Model Improvement")