Building a Visual Interface for your ML Model with Gradio
Accessibility is a major challenge of machine learning (ML). Typical ML models are built by specialists and require specialized hardware/software as well as ML experience to validate.
The accessibility challenge also makes collaboration more difficult and limits the ML researcher’s exposure to realistic data and scenarios that occur in the wild.
o improve accessibility and facilitate collaboration,
GradioML team developed an open-source Python package, which allows researchers to rapidly generate a visual interface for their ML models.
It makes accessing any ML model as easy as opening a URL in your browser.
In this talk had been joined by Gradio CEO and Co-Founder Abubakar Abid who will take us through building a visual interface for machine learning models with Gradio. You can learn more about Gradio by visiting their website Gradio