Gradio
Gradio is an open-source Python library used to build demonstration machine learning or data science, as well as web applications.
Tags:AI Training ModelAI ModelGradio is an open-source Python library used to build demonstration machine learning or data science, as well as web applications. You can use Gradio to quickly create a beautiful user interface based on your own machine learning model or data science workflow, allowing users to try dragging and dropping their own images, input text, record their own sounds, and interact with your demo program through a browser. Companies such as Google, HuggingFace, Amazon, Meta, Cisco, and VMware are all using it.
Gradio is suitable for:
Present your machine learning model to clients/partners/users/students.
Quickly deploy your model and receive model performance feedback by automatically sharing links.
Use built-in operation and interpretation tools to interactively debug the model during the development process.
data statistics
Relevant Navigation
MindSpore is a new open-source deep learning training/inference framework developed by Huawei for edge cloud scenarios. MindSpore provides user-friendly design and efficient execution, aiming to enhance the development experience of data scientists and algorithm engineers, and provides native support for Ascend AI processors, as well as software and hardware co optimization.
