Update app.py

app.py

@@ -2,8 +2,8 @@ from langchain_huggingface import HuggingFaceEmbeddings
 import gradio as gr
 import os
 from googletrans import Translator
-import requests
-from dotenv import load_dotenv
+# import requests
+# from dotenv import load_dotenv
 # import numpy as np
 from langchain_community.vectorstores import Chroma
 from langchain_community.document_loaders import UnstructuredPDFLoader, PyPDFLoader
@@ -18,7 +18,7 @@ from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler
 from langchain.llms.base import LLM
 from typing import List, Dict, Any, Optional
 from pydantic import BaseModel
-from tqdm import tqdm
+# from tqdm import tqdm
 import torch
 import logging
 
@@ -78,17 +78,11 @@ def initialize_LLM(llm_option, llm_temperature, max_tokens, top_k, vector_db, pr
         print(f"Using default LLM {default_llm} for {language}")
         llm_name = default_llm
     
-    memory = ConversationBufferMemory(
-        memory_key="chat_history",
-        output_key='answer',
-        return_messages=True
-    )
-    
     qa_chain = ConversationalRetrievalChain.from_llm(
         llm=llm_name,
         retriever=vector_db.as_retriever(),
         chain_type="stuff",
-        memory=memory,
+        # memory=memory,
         return_source_documents=True,
         temperature=llm_temperature,
         verbose=False,