tf-nlp-1

Introductory Sentiment Analysis with Vader.

For a super quickly deployed app, try using Streamlit with Vader. For getting a prototype on the web quickly, deploy it on Heroku with minimal configuration requirements.

Check out the app here:
https://tf-nlp-1.herokuapp.com/

The following are needed for Heroku to run a Streamlit app:

1. Your Streamlit app (app.py or similar)
2. Requirements file (recommend installing pipreqs to generate)
3. A file named Procfile that contains instructions for Heroku to run your app.

Example Procfile:
web: streamlit run --server.enableCORS false --server.port $PORT your-app-name.py