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import gradio as gr | |
description = "Question Answering Demo 🙌🏼" | |
title = "Question Answering with Keras" | |
context = "Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages. It also has extensive documentation and developer guides." | |
question = "What is Keras?" | |
interface = gr.Interface.load("huggingface/keras-io/transformers-qa", | |
description=description, | |
title = title, | |
theme = "grass", | |
examples = [[context, question]] | |
) | |
interface.launch() |