alvarobartt/tensorflow-serving-streamlit
TensorFlow Serving + Streamlit! :sparkles::framed_picture:
This project helps machine learning engineers or data scientists quickly create a user-friendly interface for their deployed image classification models. You input image files, and the system outputs the classification prediction from a TensorFlow model. This is ideal for showcasing an image classification model's capabilities to stakeholders or for internal testing.
No commits in the last 6 months.
Use this if you need a simple way to demonstrate or interact with a TensorFlow image classification model that is already served via TensorFlow Serving.
Not ideal if you need to serve complex models beyond image classification, require a highly customized or enterprise-grade frontend, or are not using TensorFlow Serving.
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Dockerfile
License
MIT
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Last pushed
Aug 05, 2021
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