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* Extend Interface.from_pipeline() to support Transformers.js.py pipelines on Lite (wip: only object-detection in this commit) * add changeset * Add image-classification and image-segmentation * Add zero-shot-image-classification and zero-shot-object-detection * Add document-question-answering * Add feature-extraction and fill-mask * Add question-answering and summarization * Fix an error message * Add text2text-generation, text-classification, and text-generation * Add translation andtranslation_xx_to_yy * Add zero-shot-classification * Add postprocess_takes_inputs to control the args passed to the postprocess function of each pipeline * Add topk option to image-classification * format_backend * Add audio-classification, automatic-speech-recognition, and zero-shot-audio-classification * Add image-to-text * Add token-classification (with JSON component as an output. Is it correct?) * Ignore import type failure of transformers_js_py * Add image-feature-extraction * Add image-to-image * Add text-to-audio * Add depth-estimation * Remove `render=False` * Reorder the if-blocks following the Transformers.js doc * Update gradio/pipelines_utils.py Co-authored-by: Abubakar Abid <abubakar@huggingface.co> * Update gradio/pipelines_utils.py Co-authored-by: Abubakar Abid <abubakar@huggingface.co> * Fix feature-extraction demo * Fix demo title * Add guides/08_gradio-clients-and-lite/gradio-lite-and-transformers-js.md without contents * Rename guides/08_gradio-clients-and-lite/*.md to fix the order * Use pipeline.model.config._name_or_path for the demo title instead of pipeline.model.config.model_type * Fix normal Interface.from_pipeline to use pipeline.model.config.name_or_path as the demo title * Write an article about Gradio-Lite and Transformers.js * Update the doc * tweaks * add changeset --------- Co-authored-by: gradio-pr-bot <gradio-pr-bot@users.noreply.github.com> Co-authored-by: Abubakar Abid <abubakar@huggingface.co>
36 lines
1010 B
HTML
36 lines
1010 B
HTML
<!doctype html>
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<!-- A demo HTML file to test the bundled JS and CSS files -->
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<html>
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<head>
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<meta charset="utf-8" />
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<meta
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name="viewport"
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content="width=device-width, initial-scale=1, shrink-to-fit=no, maximum-scale=1"
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/>
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<link rel="preconnect" href="https://fonts.googleapis.com" />
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<link
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rel="preconnect"
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href="https://fonts.gstatic.com"
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crossorigin="anonymous"
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/>
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<script type="module" crossorigin src="./dist/lite.js"></script>
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<link rel="stylesheet" href="./dist/lite.css" />
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</head>
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<body style="padding: 10px; height: 100%; width: 100%">
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<h1>Lorem Ipsum Dolor</h1>
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<gradio-lite>
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<gradio-requirements> transformers_js_py[audio] </gradio-requirements>
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<gradio-file name="app.py" entrypoint>
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import gradio as gr from transformers_js_py import pipeline pipe = await
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pipeline('automatic-speech-recognition'); demo =
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gr.Interface.from_pipeline(pipe) if __name__ == "__main__":
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demo.launch()
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</gradio-file>
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</gradio-lite>
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</body>
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</html>
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