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https://github.com/streamlit/example-app-zero-shot-text-classifier


https://github.com/streamlit/example-app-zero-shot-text-classifier

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# 🤗 Zero-shot Text Classifier

[![Streamlit App](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://zero-shot-text-classifier.streamlitapp.com/)

Classify keyphrases fast and on-the-fly with this mighty app. No ML training needed! Create classifying labels, paste your keyphrases, and you're off! 🚀

You can set these labels anything, e.g.:
- `Positive`, `Negative` and `Neutral` for sentiment analysis
- `Angry`, `Happy`, `Emotional` for emotion analysis
- `Navigational`, `Transactional`, Informational for intent classification purposes
- Your product range (`Bags`, `Shoes`, `Boots` etc.)

You decide!

### About the app

- App created by [Datachaz](https://twitter.com/DataChaz) using 🎈[Streamlit](https://streamlit.io/) and [HuggingFace](https://huggingface.co/inference-api)'s [Distilbart-mnli-12-3](https://huggingface.co/valhalla/distilbart-mnli-12-3) model.
- Deployed on [Streamlit Cloud](https://streamlit.io/cloud) ☁️

### Questions? Comments?

Please ask in the [Streamlit community](https://discuss.streamlit.io).