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Instructions
Gradio is an open source library designed to provide a fast and easy-to-use web interface for machine learning models. It allows developers and researchers to easily create interactive demonstrations of their models, making it easy for people regardless of technical background to try out and understand these models. Using Gradio, you can generate a web application with just a few lines of code, which can receive input (such as images, text, or audio, etc.) and display the output of the model. This is useful for testing, demonstrating, and getting feedback on models, especially in collaborative, educational, or research settings. Gradio also supports integration into Jupyter notebooks, increasing its flexibility and accessibility. In addition, it provides a series of features to enhance user experience, such as input validation, custom layout and analysis tools, which make Gradio a popular tool for displaying and sharing models in the field of machine learning.
gradioOfficial website: https://www.gradio.app
gradio Documents: https://www.gradio.app/docs/interface
pip install gradio -i https://pypi.tuna.tsin