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A collection of NLP web apps created with Streamlit and Hugging Face

Python 100.00%

streamlit-huggingface's Introduction

Sentiment Analysis Using Hugging Face Transformers and Streamlit

This application classifies a user's input as POSITIVE or NEGATIVE based on the default Hugging Face Transformer model. The web app is built using Streamlit and can be deployed using Streamlit Sharing or via Heroku.

For more information about how I created the app, check out my Medium post.

Note: it will take up to 30 seconds to run the app.

Demo

To see the app in action, please check out one of the deployment methods below:

streamlit-huggingface's People

Contributors

rtkilian avatar sanathsame avatar

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