requirement.txt

app.py

@@ -3,21 +3,21 @@ import os
 import pinecone
 import time
 # from torch import cuda
-# from langchain.embeddings.huggingface import HuggingFaceEmbeddings
+from langchain.embeddings.huggingface import HuggingFaceEmbeddings
 # import PyPDF2
 # import re
 from langchain.vectorstores import Pinecone
 from sentence_transformers import SentenceTransformer
 
 
-embed_model = SentenceTransformer('sentence-transformers/all-MiniLM-L6-v2')
+embed_model_id = 'sentence-transformers/all-MiniLM-L6-v2'
 # device = f'cuda:{cuda.current_device()}' if cuda.is_available() else 'cpu'
 
-# embed_model = HuggingFaceEmbeddings(
-#     model_name=embed_model_id,
-#     # model_kwargs={'device': device},
-#     # encode_kwargs={'device': device, 'batch_size': 32}
-# )
+embed_model = HuggingFaceEmbeddings(
+    model_name=embed_model_id,
+    # model_kwargs={'device': device},
+    # encode_kwargs={'device': device, 'batch_size': 32}
+)
 
 # get API key from app.pinecone.io and environment from console
 pinecone.init(