frontend / README.md
deven367's picture
update readme
cb40a92
|
raw
history blame
668 Bytes
metadata
title: deven-cleric-frontend
emoji: 🌍
colorFrom: red
colorTo: blue
sdk: streamlit
sdk_version: 1.33.0
app_file: app.py
pinned: false

I've built the web app with Streamlit. The app is deployed on huggingface spaces. The app as expected takes comma seperated URLs and a question/questions as input and returns facts.

The facts received from the API are in list format, however, a single element of the list can contain multiple sentences, so I tokenize them into multiple sentences using nltk.

Install

Install the dependencies using,

pip install -r requirements.txt

Once installed, start the app using

streamlit run app.py