app.py

import streamlit as st
from PyPDF2 import PdfReader
from streamlit_extras.add_vertical_space import add_vertical_space
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.embeddings.openai import OpenAIEmbeddings
from langchain.vectorstores import faiss

with st.sidebar:
    st.title("File Research using LLM")
    st.markdown(''' Upload your file and ask questions and do Research''')
    add_vertical_space(5)
    pdf=st.file_uploader('Upload your file (PDF)', type='pdf')
    if pdf is not None:
        pdf_reader=PdfReader(pdf)
        text=""
        for page in pdf_reader.pages:
            text+=page.extract_text()
        text_splitter=RecursiveCharacterTextSplitter(
            chunk_size=1000,
            chunk_overlap=200,
            length_function=len
        )
        chunks=text_splitter.split_text(text)
        embeddings=OpenAIEmbeddings()
        vectorstore=faiss.FAISS.from_texts(chunks, embedding=embeddings)
        
        
        
        st.write(chunks)
    st.write('Made by ALOK')

def main():
    st.header('Talk to your file')
    
if __name__=='__main__':
    main()