Update app.py

app.py

@@ -134,7 +134,7 @@ def bot(history, cross_encoder):
             history[-1][1] = character
             print('Final history is ',history)
             yield history, prompt_html
-        store_message(db,history[-1][0],history[-1][1],cross_encoder)
+        #store_message(db,history[-1][0],history[-1][1],cross_encoder)
     else:
         # Retrieve documents relevant to query
         document_start = perf_counter()
@@ -177,7 +177,7 @@ def bot(history, cross_encoder):
             history[-1][1] = character
             print('Final history is ',history)
             yield history, prompt_html
-        store_message(db,history[-1][0],history[-1][1],cross_encoder)
+        #store_message(db,history[-1][0],history[-1][1],cross_encoder)
 
 
 with gr.Blocks(theme='Insuz/SimpleIndigo') as demo:
@@ -190,7 +190,7 @@ with gr.Blocks(theme='Insuz/SimpleIndigo') as demo:
       The bot can answer questions in natural language, taking relevant extracts from the ECI document which can be accessed <a href="https://www.eci.gov.in/eci-backend/public/api/download?url=LMAhAK6sOPBp%2FNFF0iRfXbEB1EVSLT41NNLRjYNJJP1KivrUxbfqkDatmHy12e%2Fzk1vx4ptJpQsKYHA87guoLjnPUWtHeZgKtEqs%2FyzfTTYIC0newOHHOjl1rl0u3mJBSIq%2Fi7zDsrcP74v%2FKr8UNw%3D%3D" style="color: #00008B; text-decoration: none;">CLICK HERE !</a>.
     </p>
     """, elem_id='Sub-heading')
-    usage_count = get_and_increment_value_count(db,collection_name, field_name)
+    #usage_count = get_and_increment_value_count(db,collection_name, field_name)
     gr.HTML(value=f"""<p style="font-family: Arial, sans-serif; font-size: 16px;">Developed by K M Ramyasri , PGT . Suggestions may be sent to <a href="mailto:mramesh.irs@gov.in" style="color: #00008B; font-style: italic;">mramesh.irs@gov.in</a>.</p>""", elem_id='Sub-heading1 ')
     count_html = gr.HTML(value=f"""
     <div style="display: flex; justify-content: flex-end;">