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import gradio as gr
from transformers import pipeline
pipeline = pipeline(task="image-classification", model="google/vit-base-patch16-224")
def predict(image):
predictions = pipeline(image)
return {p["label"]: p["score"] for p in predictions}
gr.Interface(
predict,
inputs=gr.inputs.Image(type="filepath"),
outputs=gr.outputs.Label(num_top_classes=1),
).launch() |