Update app.py

app.py

@@ -4,7 +4,7 @@ from langchain_community.document_loaders import PyPDFLoader
 from langchain.text_splitter import RecursiveCharacterTextSplitter
 from langchain_community.vectorstores import FAISS
 from langchain_community.embeddings import HuggingFaceEmbeddings
-from langchain_community.chat_models import ChatGroq
+from langchain_groq import ChatGroq  # ✅ Correct import
 from langchain.prompts import PromptTemplate
 from langchain.chains import RetrievalQA
 
@@ -38,6 +38,7 @@ def process_file(file_path):
         input_variables=["context", "question"]
     )
 
+    # ✅ Use Groq Chat Model
     llm = ChatGroq(
         api_key=os.environ.get("GROQ_API_KEY"),
         model_name="llama3-8b-8192"
@@ -72,7 +73,6 @@ async def handle_message(message: cl.Message):
         file = files[0]
         file_path = file.path
 
-        # Build RAG pipeline
         qa_chain = await cl.make_async(process_file)(file_path)
         cl.user_session.set("qa_chain", qa_chain)
         cl.user_session.set("ready", True)