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import gradio as gr
from transformers import pipeline
pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
# def greet(name):
# return f"Hello {name}!"
# demo = gr.Interface(fn=greet, inputs="text", outputs="text")
def predict(image):
predictions = pipeline(image)
return {p["label"]: p["score"] for p in predictions}
demo = gr.Interface(
predict,
inputs=gr.inputs.Image(label="Upload hot dog candidate", type="filepath"),
outputs=gr.outputs.Label(num_top_classes=2),
title="Hot Dog? Or Not?"
)
demo.launch()
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