I have created a zero-shot learning text classifier using Hugging Face's API inference and Distilbart!
With it you will have the mighty power to classify keyphrases on-the-fly, fast, and without any ML training!
- You can set these labels dynamically to 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.)
To view this Streamlit app on a browser, run it with the following command: streamlit run streamlit_app.py