app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="image-classification", model="Keshar/cat_and_dog_model")

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 Image", sources=['upload', 'webcam'], type='pil'),
    outputs=[gr.Image(label = "Processed Image"), gr.Label(label = "Result", num_top_classes=2)],
    title="Dog or Cat?",
)

if __name__ == "__main__":
    gradio_app.launch()