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cat_and_dog_classification / app.py

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Update app.py

1c09541 verified 3 months ago

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	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()