Update app.py

app.py

@@ -116,7 +116,7 @@ demo = gr.Interface(fn=greet,
           Large language models (LLM) today often fall short in providing accurate specialized information. Inquiries related to fields such as medicine, law, or finance may result in inaccurate responses.\n 
           Retrieval-Augmented Generation (RAG) is a widely adopted solution to this challenge. By storing specialized knowledge in a database, RAG enables Bots to search the knowledge base and generate precise, expert-level responses.\n 
           This methodology not only allows businesses to develop Bots tailored to their specific operations by incorporating proprietary data and knowledge but also ensures enhanced security by hosting the knowledge base on their own servers, thereby reducing the risk of data breaches.\n 
-          Try to upload your own documents or a URL below:"""
+          Try to upload your own documents or URLs below:"""
           )
 demo.launch(debug=True)