mafda/ml_with_fastapi_and_streamlit
Prototyping a Machine Learning Application with Streamlit, FastAPI, Hugging Face and Docker
This project helps data scientists and machine learning engineers quickly build and demonstrate interactive machine learning applications. You can take your machine learning models, like those from Hugging Face, and turn them into a user-friendly web interface. It's designed for individuals who need to showcase model results or create a proof-of-concept without deep web development expertise.
No commits in the last 6 months.
Use this if you need to rapidly create an interactive web application or dashboard to present your machine learning model's findings or functionality to clients or stakeholders.
Not ideal if you need a production-ready, highly customized, or extremely complex front-end web application with intricate user interface requirements.
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Python
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Last pushed
Apr 12, 2023
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