Update app.py

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 from dotenv import load_dotenv
+import pinecone
 import pickle
 from huggingface_hub import Repository
 from PyPDF2 import PdfReader
@@ -12,6 +13,14 @@ from langchain.chains.question_answering import load_qa_chain
 from langchain.callbacks import get_openai_callback
 import os
 
+pinecone.init(api_key="PINECONE_API_KEY")
+
+INDEX_NAME = "your_vector_index_name"
+if INDEX_NAME not in pinecone.list_indexes():
+    pinecone.create_index(name=INDEX_NAME, metric="cosine", shards=1)
+
+
+
 # Step 1: Clone the Dataset Repository
 repo = Repository(
     local_dir="Private_Book",  # Local directory to clone the repository
@@ -73,6 +82,10 @@ def load_pdf(file_path):
         VectorStore = FAISS.from_texts(chunks, embedding=embeddings)
         with open(f"{store_name}.pkl", "wb") as f:
             pickle.dump(VectorStore, f)
+            
+    # Add Pinecone integration here
+    vector_dict = {str(i): vector for i, vector in enumerate(VectorStore.vectors)}
+    pinecone.upsert(items=vector_dict, index_name=INDEX_NAME)
 
     return VectorStore