Update app.py

app.py

@@ -102,7 +102,7 @@ def bot(history, cross_encoder):
     
     # if COLBERT RAGATATOUILLE PROCEDURE  : 
     if cross_encoder=='ColBERT':
-        gr.Warning('Retrieving using ColBERT')
+        gr.Warning('Retrieving using ColBERT.. First time query will take a minute for model to load..pls wait')
         RAG= RAGPretrainedModel.from_pretrained("colbert-ir/colbertv2.0")
         RAG_db=RAG.from_index('.ragatouille/colbert/indexes/mockingbird')
         documents_full=RAG_db.search(query,k=top_k_rank)
@@ -168,14 +168,15 @@ with gr.Blocks(theme='Insuz/SimpleIndigo') as demo:
     <h1 style="color: #008000">NIRVACHANA - <span style="color: #008000">Expenditure Observer AI Assistant</span></h1>
     <img src='logo.png' alt="Chatbot" width="50" height="50" />
     </div>""",elem_id='heading')
-    gr.HTML(value="""<p style="font-family: sans-serif; font-size: 16px;">A free chat bot assistant for Expenditure Observers on Compendium on Election Expenditure Monitoring using Open source LLMs. <br> 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: #FF0000; text-decoration: none;"></a>.</p>""",elem_id='Sub-heading')
+    gr.HTML(value="""<p style="font-family: sans-serif; font-size: 16px;">A free chat bot assistant for Expenditure Observers on Compendium on Election Expenditure Monitoring using Open source LLMs. <br> 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: #FF0000; text-decoration: none;"></a>CLICK HERE ! </p>""",elem_id='Sub-heading')
     usage_count = get_and_increment_value_count(db,collection_name, field_name)
     count_html =gr.HTML(value= f"""
     <div style="display: flex; justify-content: flex-end;">
-    <span style="font-weight: bold; color: maroon;">No of Usages:</span> {usage_count}
+    <span style="font-weight: bold; color: maroon; font-size: 18px;">No of Usages:</span> {usage_count}
     </div>
     """)
-    
+    gr.HTML(value=f"""<p style="font-family: Arial, sans-serif; font-size: 16px;">Developed by Ramesh M IRS (C& CE), Suggestions may be sent to <a href="mailto:[email protected]" style="color: #00008B; font-style: italic;">[email protected]</a>.</p>
+""", elem_id='Sub-heading1 ')
     chatbot = gr.Chatbot(
             [],
             elem_id="chatbot",
@@ -195,7 +196,7 @@ with gr.Blocks(theme='Insuz/SimpleIndigo') as demo:
                 )
         txt_btn = gr.Button(value="Submit text", scale=1)
 
-    cross_encoder = gr.Radio(choices=['MiniLM-L6v2','BGE reranker','ColBERT'], value='BGE reranker',label="Embeddings", info="Choose MiniLM for Speed, BGE reranker for accuracy,ColBERT for both")
+    cross_encoder = gr.Radio(choices=['MiniLM-L6v2','BGE reranker','ColBERT'], value='BGE reranker',label="Embeddings", info="Choose MiniLM for Speed, BGE reranker for accuracy,ColBERT for both (First query to Colbert may take litte time)")
 
     prompt_html = gr.HTML()
     # Turn off interactivity while generating if you click