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Update app.py
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app.py
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# Necessary imports
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import gradio as gr
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from src.siglip.classifier import ZeroShotImageClassification
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# Examples to display in the interface
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examples = [
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[
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"images/baklava.png",
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"dessert on a plate, a serving of baklava, a plate and spoon",
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],
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[
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"images/beignets.png",
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"a dog, a cat, a donut, a beignet",
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],
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[
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"images/cat.png",
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"two sleeping cats, two cats playing, three cats laying down",
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],
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]
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# Title and description and article for the interface
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title = "Zero Shot Image Classification"
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description = "Classify image using zero-shot classification with SigLIP 2
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2502.14786' target='_blank'>SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features</a> | <a href='https://huggingface.co/google/siglip2-so400m-patch16-naflex' target='_blank'>Model Page</a></p>"
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# Launch the interface
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demo = gr.Interface(
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fn=ZeroShotImageClassification,
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inputs=[
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gr.Image(type="pil", label="Input", placeholder="Enter image to classify"),
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gr.Textbox(
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label="Candidate Labels",
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placeholder="Enter candidate labels separated by commas",
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),
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],
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outputs=gr.Label(label="Classification"),
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title=title,
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description=description,
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article=article,
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examples=examples,
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cache_examples=True,
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cache_mode="lazy",
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theme="Soft",
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flagging_mode="never",
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)
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demo.launch(debug=False)
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# Necessary imports
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import gradio as gr
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from src.siglip.classifier import ZeroShotImageClassification
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# Examples to display in the interface
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examples = [
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[
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"images/baklava.png",
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"dessert on a plate, a serving of baklava, a plate and spoon",
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],
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[
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"images/beignets.png",
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"a dog, a cat, a donut, a beignet",
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],
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[
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"images/cat.png",
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"two sleeping cats, two cats playing, three cats laying down",
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],
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]
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# Title and description and article for the interface
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title = "Zero Shot Image Classification"
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description = "Classify image using zero-shot classification with SigLIP 2 model! Provide an image input and a list of candidate labels separated by commas. Read more at the links below."
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article = "<p style='text-align: center'><a href='https://arxiv.org/abs/2502.14786' target='_blank'>SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features</a> | <a href='https://huggingface.co/google/siglip2-so400m-patch16-naflex' target='_blank'>Model Page</a></p>"
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# Launch the interface
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demo = gr.Interface(
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fn=ZeroShotImageClassification,
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inputs=[
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gr.Image(type="pil", label="Input", placeholder="Enter image to classify"),
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gr.Textbox(
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label="Candidate Labels",
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placeholder="Enter candidate labels separated by commas",
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),
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],
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outputs=gr.Label(label="Classification"),
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title=title,
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description=description,
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article=article,
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examples=examples,
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cache_examples=True,
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cache_mode="lazy",
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theme="Soft",
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flagging_mode="never",
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)
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demo.launch(debug=False)
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