Update app.py

app.py

@@ -258,12 +258,13 @@ user_selection = st.selectbox("Select an example review", options=dropdown_optio
 # Extract the original review key from the selected option
 selected_key = user_selection.split(" (")[0]  # Remove the label part
 selected_review = example_reviews[selected_key]
+lower_case_review = selected_review.lower()
 
 # Process the text when the button is clicked
 if st.button("Process Review"):
-    if selected_review.strip():
-        bert_embedding = get_bert_embedding(selected_review)
-        spaBert_embedding, current_pseudo_sentences = processSpatialEntities(selected_review,nlp)
+    if lower_case_review.strip():
+        bert_embedding = get_bert_embedding(lower_case_review)
+        spaBert_embedding, current_pseudo_sentences = processSpatialEntities(lower_case_review,nlp)
         combined_embedding = torch.cat((bert_embedding,spaBert_embedding),dim=-1)
         
         if(dev_mode == True):
@@ -275,7 +276,7 @@ if st.button("Process Review"):
         prediction = get_prediction(combined_embedding)
                     
         # Process the text using spaCy
-        doc = nlp(selected_review)
+        doc = nlp(lower_case_review)
         
         # Highlight geo-entities with different colors
         highlighted_text = selected_review