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import gradio as gr |
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description = "Question Answering Demo 🙌🏼" |
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title = "Question Answering with Keras" |
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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. See the model here: hf.co/keras-io/transformers-qa" |
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question = "What is Keras?" |
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interface = gr.Interface.load("huggingface/mrm8488/umberto-wikipedia-uncased-v1-finetuned-squadv1-it", |
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description=description, |
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title = title, |
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theme = "grass", |
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examples = [[context, question]] |
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) |
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interface.launch() |