Update app.py

app.py

@@ -810,23 +810,6 @@ def send_mail_with_history(req: gr.Request,chatbot):
     if req.username:
        send_email_with_attachment_mailjet("[email protected]","conversation history" + req.username, chatbot)  
 
-# List of sample autocomplete suggestions
-autocomplete_suggestions = [
-    "What is cross docking?",
-    "Can you create a bar chart with item name and quantity for warehouse WH1000001",
-    "What is GRN?",
-    "What are the active warehouses?",
-    "How can I learn Python?",
-    "Explain machine learning.",
-    "What is deep learning?",
-    "Give me some tips for learning AI."
-]
-
-# Function to suggest matching text based on user input
-def suggest_text(user_input):
-    # Filter suggestions based on user input
-    matches = [s for s in autocomplete_suggestions if user_input.lower() in s.lower()]
-    return matches[:5]  # Limit to top 5 suggestions
 
 # CSS for styling the buttons and other elements
 css = """
@@ -912,7 +895,7 @@ with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
     with gr.Row():
         with gr.Column(scale=2):
             message = gr.Textbox(show_label=False, container=False, placeholder="Please enter your question")
-            suggestions_output = gr.HighlightedText()  # Display matching suggestions
+           
             with gr.Row():
                 feedback_textbox = gr.Textbox(visible=False, show_label=False, container=False, placeholder="Please enter your feedback.")
                 submit_feedback_button = gr.Button("Submit Feedback", visible=False,elem_classes="gr-buttonbig")
@@ -924,8 +907,7 @@ with gr.Blocks(css=css, theme=gr.themes.Soft()) as demo:
                 #gr.ClearButton(message, elem_classes="gr-buttonbig")
 
     stop_button.click(stop_processing, [chatbot],[chatbot])
-    # Show suggestions as user types
-    message.change(suggest_text, inputs=message, outputs=suggestions_output)
+    
     button.click(handle_query, [message, chatbot], [chatbot])
     message.submit(handle_query, [message, chatbot], [chatbot])
     message.submit(lambda x: gr.update(value=""), None, [message], queue=False)