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Gradio is an open source Python library that is used to build demonstration machine learning or data sciences, and web applications. You can quickly create a beautiful user interface with Gradio based on your own machine learning model or data science workflow, so that users can try to drag and drop their own images, enter text, record their own voice, and use the browser to and you through the browser and you Demonstration procedure interacts. Google, HuggingFace, Amazon, Meta, Cisco, VMware and other companies are all in use.
Gradio is suitable for:
- Demonstrate your machine learning model to customers/partners/users/students.
- Quickly deploy your model by automatic sharing links and get model performance feedback.
- Use built -in operations and interpretation tools during the development process to debug the model.
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