Upload with huggingface_hub
Browse files- README.md +5 -5
- app.py +32 -0
- cheetah1.jpeg +0 -0
- cheetah1.jpg +0 -0
- lion.jpg +0 -0
README.md
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---
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title:
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emoji:
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colorFrom: indigo
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colorTo:
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sdk: gradio
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sdk_version: 3.3.1
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app_file: app.py
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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---
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title: image_classifier_interface_load
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emoji: 🔥
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colorFrom: indigo
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colorTo: indigo
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sdk: gradio
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sdk_version: 3.3.1
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app_file: app.py
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pinned: false
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---
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app.py
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import gradio as gr
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import pathlib
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current_dir = pathlib.Path(__file__)
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images = [current_dir / "cheetah1.jpeg", current_dir / "cheetah1.jpg", current_dir / "lion.jpg"]
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img_classifier = gr.Interface.load(
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"models/google/vit-base-patch16-224", examples=images, cache_examples=True
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)
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def func(img, text):
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return img_classifier(img), text
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using_img_classifier_as_function = gr.Interface(
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func,
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[gr.Image(type="filepath"), "text"],
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["label", "text"],
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examples=[
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[current_dir / "cheetah1.jpeg", None],
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[current_dir / "cheetah1.jpg", "cheetah"],
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[current_dir / "lion.jpg", "lion"],
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],
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cache_examples=True,
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)
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demo = gr.TabbedInterface([using_img_classifier_as_function, img_classifier])
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if __name__ == "__main__":
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demo.launch()
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cheetah1.jpeg
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cheetah1.jpg
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lion.jpg
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