Update app.py

app.py

@@ -1,16 +1,16 @@
 import os
 import json
 from langchain_groq import ChatGroq
-from langchain import PromptTemplate
+from langchain_core.prompts import PromptTemplate
 from qdrant_client import QdrantClient
 from langchain.chains import RetrievalQA
-from langchain.vectorstores import Qdrant
+from langchain_community.vectorstores import Qdrant
 from fastapi.responses import HTMLResponse
 from fastapi.staticfiles import StaticFiles
 from fastapi.encoders import jsonable_encoder
 from fastapi.templating import Jinja2Templates
 from fastapi import FastAPI, Request, Form, Response
-from langchain.embeddings import SentenceTransformerEmbeddings
+from langchain_community.embeddings import SentenceTransformerEmbeddings
 
 os.environ["TRANSFORMERS_FORCE_CPU"] = "true"
 
@@ -33,16 +33,14 @@ api_key = os.environ.get("API_KEY")
 llm = ChatGroq(
     model="mixtral-8x7b-32768",
     api_key=api_key,
-    )
+)
 
 print("LLM Initialized....")
 
 prompt_template = """Use the following pieces of information to answer the user's question.
 If you don't know the answer, just say that you don't know, don't try to make up an answer.
-
 Context: {context}
 Question: {question}
-
 Only return the helpful answer below and nothing else.
 Helpful answer:
 """
@@ -77,4 +75,4 @@ async def get_response(query: str = Form(...)):
     response_data = jsonable_encoder(json.dumps({"answer": answer, "source_document": source_document, "doc": doc}))
 
     res = Response(response_data)
-    return res
+    return res