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Browse files- index.html +53 -16
index.html
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<!DOCTYPE html>
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<html>
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</html>
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<!DOCTYPE html>
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<html>
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<head>
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<script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.js"></script>
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<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.css" />
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</head>
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<body>
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<gradio-lite>
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<gradio-requirements>
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transformers_js_py
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</gradio-requirements>
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<gradio-file name="app.py" entrypoint>
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from transformers_js import import_transformers_js, as_url
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import gradio as gr
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transformers = await import_transformers_js()
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pipeline = transformers.pipeline
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pipe = await pipeline('object-detection', "Xenova/yolos-tiny")
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async def detect(image):
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result = await pipe(as_url(image))
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gradio_labels = [
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# List[Tuple[numpy.ndarray | Tuple[int, int, int, int], str]]
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(
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(
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int(item["box"]["xmin"]),
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int(item["box"]["ymin"]),
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int(item["box"]["xmax"]),
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int(item["box"]["ymax"]),
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),
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item["label"],
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)
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for item in result
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]
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annotated_image_data = image, gradio_labels
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return annotated_image_data, result
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demo = gr.Interface(
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detect,
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gr.Image(type="filepath"),
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[
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gr.AnnotatedImage(),
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gr.JSON(),
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]
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)
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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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