Update app.py

app.py

@@ -3,6 +3,42 @@ import os
 import json
 import random
 
+    
+# Imports
+import base64
+import glob
+import json
+import math
+import openai
+import os
+import pytz
+import re
+import requests
+import streamlit as st
+import textract
+import time
+import zipfile
+import huggingface_hub
+import dotenv
+import streamlit.components.v1 as components  # Import Streamlit Components for HTML5
+
+from audio_recorder_streamlit import audio_recorder
+from bs4 import BeautifulSoup
+from collections import deque
+from datetime import datetime
+from dotenv import load_dotenv
+from huggingface_hub import InferenceClient
+from io import BytesIO
+from langchain.chat_models import ChatOpenAI
+from langchain.chains import ConversationalRetrievalChain
+from langchain.embeddings import OpenAIEmbeddings
+from langchain.memory import ConversationBufferMemory
+from langchain.text_splitter import CharacterTextSplitter
+from langchain.vectorstores import FAISS
+from openai import ChatCompletion
+from PyPDF2 import PdfReader
+from templates import bot_template, css, user_template
+from xml.etree import ElementTree as ET
 from PIL import Image
 from urllib.parse import quote  # Ensure this import is included
 
@@ -424,43 +460,7 @@ def display_content_or_image(query):
 
 
 
-
-    
-# Imports
-import base64
-import glob
-import json
-import math
-import openai
-import os
-import pytz
-import re
-import requests
-import streamlit as st
-import textract
-import time
-import zipfile
-import huggingface_hub
-import dotenv
-from audio_recorder_streamlit import audio_recorder
-from bs4 import BeautifulSoup
-from collections import deque
-from datetime import datetime
-from dotenv import load_dotenv
-from huggingface_hub import InferenceClient
-from io import BytesIO
-from langchain.chat_models import ChatOpenAI
-from langchain.chains import ConversationalRetrievalChain
-from langchain.embeddings import OpenAIEmbeddings
-from langchain.memory import ConversationBufferMemory
-from langchain.text_splitter import CharacterTextSplitter
-from langchain.vectorstores import FAISS
-from openai import ChatCompletion
-from PyPDF2 import PdfReader
-from templates import bot_template, css, user_template
-from xml.etree import ElementTree as ET
-import streamlit.components.v1 as components  # Import Streamlit Components for HTML5
-
+# ------------------------------------
 
 def add_Med_Licensing_Exam_Dataset():
     import streamlit as st