subhasisj/FastAPI-Streamlit-Docker-NLP

Text Classification model deployment using FastAPI, Streamlit and Docker Compose

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/ 100
Experimental

This tool helps you classify text, like identifying spam emails or categorizing customer feedback, using a pre-trained model. You input raw text, and it outputs the assigned category or label for that text. Anyone who needs to automatically sort or tag large volumes of text without writing code would find this useful.

No commits in the last 6 months.

Use this if you have a pre-trained text classification model and want a quick, easy way to put it into action with a user-friendly interface.

Not ideal if you need to train a new text classification model from scratch or require a highly customized, enterprise-grade deployment with complex integrations.

text-categorization spam-detection content-moderation document-tagging sentiment-analysis
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 15 / 25

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License

Last pushed

Feb 12, 2021

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