https://github.com/slevin48/streamlit

A crash course to streamlit dashboard with a Twitter sentiment analysis + deployment on Heroku
https://github.com/slevin48/streamlit

heroku streamlit

Last synced: 5 days ago
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A crash course to streamlit dashboard with a Twitter sentiment analysis + deployment on Heroku

• Host: GitHub
• URL: https://github.com/slevin48/streamlit
• Owner: slevin48
• Created: 2020-05-11T07:22:02.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2021-12-15T10:17:58.000Z (almost 3 years ago)
• Last Synced: 2023-03-05T14:13:38.678Z (over 1 year ago)
• Topics: heroku, streamlit
• Language: Python
• Homepage:
• Size: 1.43 MB
• Stars: 6
• Watchers: 1
• Forks: 1
• Open Issues: 1
• Metadata Files:
  • Readme: README.md

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README

        
# streamlit [![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/slevin48/streamlit/app.py)

A crash course to streamlit dashboard with a Twitter sentiment analysis + deployment on Heroku

![app.png](app.png)

The dataset is coming from this Kaggle contest on the analysis of **Twitter US Airline Sentiment**:

https://www.kaggle.com/crowdflower/twitter-airline-sentiment

A Notebook handling this problem with Jupyter:

https://github.com/ireneliu521/Twitter-US-Airline-Sentiment_J2D_Project_Python/blob/master/Twitter%20US%20Airline%20Sentiment.ipynb

## Development

Using [pipenv](https://pipenv.pypa.io/)

![pipenv.png](pipenv.png)

## Deployment

Video tutorial: https://www.youtube.com/watch?v=skpiLtEN3yk

Associated blogpost: https://blog.jcharistech.com/2019/10/24/how-to-deploy-your-streamlit-apps-to-heroku/

```

heroku login

```

```

heroku create

```

[Deploy the app](https://devcenter.heroku.com/articles/getting-started-with-python#deploy-the-app):

```

git push heroku master

```

### Required files

1. setup.sh

2. [Procfile](https://devcenter.heroku.com/articles/procfile)

3. requirements.txt

![heroku.png](heroku.png)