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Detection of humorous sentences through a Machine Learning language model (ALBERT). API creation has been done with FastAPI and the consumer app to interact with the API is built with Streamlit

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Simple Machine Learning API


This is a side project to practice API development and ML model deployment. It consists on a Python application built with FastAPI for the backend and Streamlit for the frontend, to serve a ML HuggingFace Language model.

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Detection of humorous sentences through a Machine Learning language model (ALBERT). API creation has been done with FastAPI and the consumer app to interact with the API is built with Streamlit

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python machine-learning fastapi huggingface

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