Spaces:
Runtime error
Runtime error
File size: 612 Bytes
ac2e96e 2456a23 ac2e96e 2456a23 ca5e799 ac2e96e 2456a23 ca5e799 2456a23 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 |
import gradio as gr
from transformers import pipeline
pipeline = pipeline(task="image-classification", model="julien-c/hotdog-not-hotdog")
def predict(input_img):
predictions = pipeline(input_img)
return input_img, {p["label"]: p["score"] for p in predictions}
app = gr.Interface(
predict,
inputs=gr.Image(
label="Select hot dog candidate", sources=["upload", "webcam"], type="pil"
),
outputs=[
gr.Image(label="Processed Image"),
gr.Label(label="Result", num_top_classes=2),
],
title="Hot Dog? Or Not?",
)
if __name__ == "__main__":
app.launch()
|