requirement.txt

app.py

@@ -1,14 +1,12 @@
-import numpy as np
 import gradio as gr
 import os
 import pinecone
 import time
 from torch import cuda
 from langchain.embeddings.huggingface import HuggingFaceEmbeddings
-import PyPDF2
-import re
+# import PyPDF2
+# import re
 from langchain.vectorstores import Pinecone
-import os
 
 embed_model_id = 'sentence-transformers/all-MiniLM-L6-v2'
 device = f'cuda:{cuda.current_device()}' if cuda.is_available() else 'cpu'

requirements.txt

@@ -0,0 +1,4 @@
+gradio
+pinecone
+torch
+langchain