updating chatbot

app.py

@@ -2,7 +2,6 @@ import gradio as gr
 import pandas as pd
 import requests
 import os
-import time
 
 from info.train_a_model import (
     LLM_BENCHMARKS_TEXT)
@@ -51,7 +50,7 @@ with demo:
         
         #chat_model_selection = chat_model_dropdown.value
         chat_model_selection = 'Intel/neural-chat-7b-v1-1'
-
+        
         def call_api_and_stream_response(query, chat_model):
             """
             Call the API endpoint and yield characters as they are received.
@@ -63,6 +62,7 @@ with demo:
                 for chunk in r.iter_content(chunk_size=1):
                     if chunk:
                         yield chunk.decode()
+
         def get_response(query, history):
             """
             Wrapper function to call the streaming API and compile the response.
@@ -76,17 +76,8 @@ with demo:
                     break
                 response += char
                 yield response
-                
-        def user(user_message, history):
-            return "", history + [[user_message, None]]
-
-        with gr.Blocks():
-            chatbot = gr.Chatbot()
-            msg = gr.Textbox()
-            clear = gr.ClearButton([msg, chatbot])
         
-            msg.submit(user, [msg, chatbot], [msg, chatbot], queue=False).then(get_response, chatbot, chatbot)
-            clear.click(lambda: None, None, chatbot, queue=False)
+        gr.ChatInterface(get_response, retry_btn = None, undo_btn=None, concurrency_limit=inference_concurrency_limit).launch()   
 
     with gr.Tabs(elem_classes="tab-buttons") as tabs:
         with gr.TabItem("🏆 LLM Leadeboard", elem_id="llm-benchmark-table", id=0):

requirements.txt

@@ -0,0 +1,2 @@
+gradio==4.16.0
+pandas==2.0.3