# Use a pipeline as a high-level helper
from transformers import pipeline
import gradio as gr

pipe = pipeline("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}

gradio_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":
    gradio_app.launch()