Update app.py

app.py

@@ -1,15 +1,19 @@
 import os
 import requests
 from groq import Groq
-from langchain_community.embeddings import HuggingFaceEmbeddings
+from langchain_huggingface import HuggingFaceEmbeddings
 from langchain_community.vectorstores import FAISS
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from PyPDF2 import PdfReader
 import streamlit as st
 from tempfile import NamedTemporaryFile
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
 
 # Initialize Groq client
-client = Groq(api_key=os.environ['GROQ_API_KEY'])
+client = Groq(api_key=os.environ.get('GROQ_API_KEY'))
 
 # Function to extract text from a PDF
 def extract_text_from_pdf(pdf_file_path):
@@ -89,8 +93,11 @@ for idx, link in enumerate(doc_links):
     if pdf_path:
         text = extract_text_from_pdf(pdf_path)
         chunks = chunk_text(text)
-        vector_db = create_embeddings_and_store(chunks, vector_db=vector_db)
-        st.success(f"✅ Processed document {idx + 1}")
+        if chunks:
+            vector_db = create_embeddings_and_store(chunks, vector_db=vector_db)
+            st.success(f"✅ Processed document {idx + 1}")
+        else:
+            st.warning(f"⚠️ No text extracted from document {idx + 1}")
     else:
         st.error(f"❌ Failed to download or process PDF from Link {idx + 1}")