Topic: "Interactive Interfaces for Machine Learning Using Gradio"

Speaker: Nastaran Shahparian, SHARCNET

Registration link

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Modern computational work isn’t just about writing code — it’s about making that code accessible. Yet, building interactive applications remains a challenge for many researchers and developers. Building a front end, wiring it to your model, and getting it online often feels like an entirely separate skillset. Gradio offers a compelling solution: a lightweight Python library that allows you to build fully interactive web-based interfaces for your models — without writing any front-end code. In this session, we’ll introduce Gradio as a practical tool for quickly prototyping and sharing Python functions, models, and visualizations. all with minimal code. Whether you're working in machine learning, education, or scientific computing, Gradio makes it easy to turn code into something others can use — instantly.

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