Update app.py

app.py

@@ -61,7 +61,8 @@ def render_intent_bars(labels, percentages):
 def main():
     st.set_page_config(layout="wide")
     st.title("Shopping Intent Classification - SEO by DEJAN")
-    st.write("Enter a URL to fetch and classify all images on the page. Javascript-based website scraping currently unsupported.")
+    st.write("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. Enter a URL to fetch and classify all images on the page. Javascript-based website scraping currently unsupported.")
 
     model_url = "https://huggingface.co/dejanseo/shopping-intent/resolve/main/model.tflite"
     model_path = "model.tflite"
@@ -107,10 +108,6 @@ def main():
 
     # 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.
     """)