adding you tube processing LLM

app.py

@@ -1,6 +1,5 @@
 import os 
 import gradio as gr
-from text_generation import Client
 import logging
 from langchain.document_loaders import PDFMinerLoader,CSVLoader ,UnstructuredWordDocumentLoader,TextLoader,OnlinePDFLoader
 from langchain.text_splitter import CharacterTextSplitter
@@ -71,13 +70,19 @@ def youtube_chat(youtube_link,API_key,llm='HuggingFace',temperature=0.1,max_toke
                             )
     return "Youtube link Processing completed ..."
 
+##################################################
+##################################################
+################### GRADIO #######################
+##################################################
+##################################################
+
 css="""
 #col-container {max-width: 700px; margin-left: auto; margin-right: auto;}
 """
 
 title = """
 <div style="text-align: center;max-width: 700px;">
-    <h1>Chat on You Tube video data • OpenAI/HuggingFace</h1>
+    <h1>Chat with You Tube videos• OpenAI/HuggingFace</h1>
     <p style="text-align: center;">Upload a You tube Link, to create its captions and load them as embeddings <br />
     once status is ready, you can start asking questions about the content you uploaded.<br />
     The repo provides you an option to use HuggingFace/OpenAI as LLM's, make sure to add your API Key before proceding.