Update app.py

app.py

@@ -1,4 +1,5 @@
 import streamlit as st
+from langchain.embeddings.sentence_transformer import SentenceTransformerEmbeddings
 from transformers import AutoModel
 from pinecone import Pinecone
 import os  # For environment variable access
@@ -11,7 +12,7 @@ API_KEY = os.environ.get("PINECONE_API_KEY")
 pc = Pinecone(api_key=API_KEY)
 
 # Load pre-trained model (replace with your chosen model)
-model = AutoModel.from_pretrained("sentence-transformers/all-MiniLM-L6-v2")
+model =SentenceTransformerEmbeddings(model_name="all-MiniLM-L6-v2")
 
 def process_and_search(query):
     # Preprocess user input (example: tokenization, normalization)