File size: 472 Bytes
dac9e7a 93269e1 dac9e7a 93269e1 dac9e7a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 |
import gradio as gr
from transformers import pipeline
pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
def predict(image):
predictions = pipeline(image)
return {p["label"]: p["score"] for p in predictions}
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?",
allow_flagging="manual"
).launch() |