Update app.py

app.py

@@ -82,7 +82,7 @@ def main():
                 "No Shopping Intent",
                 "Fashion & Style",
                 "Home & Garden",
-                "Tools, Vehicles, Electronics & Appliances"
+                "General"
             ]
 
             for img_url in img_urls:
@@ -105,5 +105,15 @@ def main():
                 except Exception as e:
                     st.write(f"Could not process image {img_url}: {e}")
 
+    # Additional information at the end
+    st.markdown("""
+    Multi-label image classification model [extracted from Chrome](https://dejanmarketing.com/product-image-optimisation-with-chromes-convolutional-neural-network/).
+    The model can be deployed in an automated pipeline capable of classifying product images in bulk.
+
+    ### Engage Our Team
+    Interested in using this in an automated pipeline for bulk image classification?
+    Please [book an appointment](https://dejanmarketing.com/conference/) to discuss your needs.
+    """)
+
 if __name__ == "__main__":
     main()