Update app.py

app.py

@@ -10,10 +10,9 @@ from langchain_huggingface.embeddings import HuggingFaceEmbeddings
 from sentence_transformers import SentenceTransformer
 import os
 import numpy as np
-from langchain.vectorstores import Pinecone
 from langchain.schema import Document
 from pinecone import Pinecone as PC
-
+from langchain_pinecone import PineconeVectorStore
 # Initialize Pinecone
 PINECONE_API_KEY = os.getenv("PINECONE_API_KEY")
 PINECONE_INDEX = "arolchatbot"  # e.g., "us-west1-gcp-free"
@@ -23,7 +22,7 @@ index = pc.Index(PINECONE_INDEX)
 
 
 embeddings = HuggingFaceEmbeddings(model_name="thenlper/gte-large")
-vector_store = Pinecone(index, embeddings.embed_query, "text")
+vector_store = PineconeVectorStore(index, embeddings, "text")
 
 # Model and Tokenizer
 model_name = "Meldashti/chatbot"
@@ -45,13 +44,6 @@ generator = pipeline(
 # LLM wrapper
 llm = HuggingFacePipeline(pipeline=generator)
 
-
-# Text splitting
-text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=20)
-split_documents = text_splitter.split_documents(documents)
-
-# Vector store
-vector_store = FAISS.from_documents(split_documents, embeddings)
 retriever = vector_store.as_retriever(search_kwargs={"k": 5})
 
 # Retrieval QA Chain