| title | emoji | colorFrom | colorTo | sdk | sdk_version | app_file | pinned |
|---|---|---|---|---|---|---|---|
deven-cleric-frontend |
🌍 |
red |
blue |
streamlit |
1.33.0 |
app.py |
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.
The app is deployed on huggingface spaces and can be accessed → here.
Install the dependencies using,
pip install -r requirements.txtOnce installed, start the app using
streamlit run app.py