Update app.py

app.py

@@ -14,13 +14,13 @@ from gradio.themes.base import Base
 import os
 
 DESCRIPTION = """\
-# RAG - MongoDB Atlas Vector Search & OpenAI
+## RAG - MongoDB Atlas Vector Search & OpenAI
 This app is designed to provide a simple chat where to improve the answer from OpenAI with private information located in MongoDB Atlas cluster.<br>
 
 # Prerequisites:
  create a free DB called "langchain_demo" and a collection called "collection_of_text_blobs" in MongoDB Atlas (https://cloud.mongodb.com). After that, you have two options:
  
- **option1**) execute locally "load_data.py" to create new documents and their embeddings in MongoDB
+ **option1**) execute locally "load_data.py" to create new documents and their embeddings in MongoDB<br>
  **option2**) import the JSON file "langchain_demo.collection_of_text_blobs.json"
 
 # Dataset
@@ -46,6 +46,7 @@ The JSON documents in MongoDB looks like:
   "source": "sample_files/chat_conversation.txt"
 }
 ```
+# Demo
 """
 
 def query_data(query,openai_api_key,mongo_uri):