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42db648 526351d 42db648 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | import gradio as gr
from transformers import pipeline
MODEL_ID = "microsoft/resnet-50"
clf = pipeline("image-classification", model=MODEL_ID)
def predict(img):
out = clf(img)
# show top-3 with scores
out = sorted(out, key=lambda r: r["score"], reverse=True)[:3]
return {r["label"]: float(r["score"]) for r in out}
gr.Interface(
fn=predict,
inputs=gr.Image(type="pil", label="Upload image"),
outputs=gr.Label(num_top_classes=3),
title="Image Classifier (pre-tuned)",
examples=["banana-1.jpg", "cat1.jpg", "zebra.jpg"]
).launch()
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