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Sleeping
Sleeping
lappemic
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25c2b3d
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Parent(s):
6f031eb
app and reqs
Browse files- app.py +15 -0
- requirements.txt +2 -0
app.py
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import gradio as gr
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from transformers import pipeline
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pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
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def predict(image):
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predictions = pipeline(image)
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return {p["label"]: p["score"] for p in predictions}
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gr.Interface(
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predict,
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inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
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outputs=gr.outputs.Label(num_top_classes=2),
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title="Hot Dog? Or Not?",
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).launch()
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requirements.txt
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transformers
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torch
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