app.py

import streamlit as st
import os
import textwrap
import torch
import chromadb
import langchain
import openai
from langchain.chains import RetrievalQA
from langchain.chat_models import ChatOpenAI
from langchain.document_loaders import TextLoader, UnstructuredPDFLoader, YoutubeLoader
from langchain.embeddings import HuggingFaceEmbeddings, OpenAIEmbeddings, HuggingFaceInstructEmbeddings
from langchain.indexes import VectorstoreIndexCreator
from langchain.llms import OpenAI, HuggingFacePipeline
from langchain.text_splitter import RecursiveCharacterTextSplitter
from langchain.vectorstores import Chroma
from langchain.prompts import PromptTemplate
from auto_gptq import AutoGPTQForCausalLM
from transformers import AutoTokenizer, pipeline, logging, TextStreamer
from langchain.document_loaders.image import UnstructuredImageLoader

x = st.slider('Select a value')
st.write(x, 'squared is', x * x)

current_working_directory = os.getcwd()
print(current_working_directory)
st.write('current dir:', current_working_directory)
arr = os.listdir('.')
st.write('dir contents:',arr)