https://github.com/streamlit/example-app-zero-shot-text-classifier
https://github.com/streamlit/example-app-zero-shot-text-classifier
Last synced: 5 months ago
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- Host: GitHub
- URL: https://github.com/streamlit/example-app-zero-shot-text-classifier
- Owner: streamlit
- License: apache-2.0
- Created: 2022-09-06T09:50:42.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2023-01-12T12:27:12.000Z (over 2 years ago)
- Last Synced: 2025-01-29T10:36:54.751Z (5 months ago)
- Language: Python
- Size: 197 KB
- Stars: 17
- Watchers: 1
- Forks: 44
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# 🤗 Zero-shot Text Classifier
[](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).