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| import gradio as gr; | |
| from transformers import pipeline; | |
| pipeline = pipeline(task="image-classification", model="PedroSampaio/fruits-360-16-7") | |
| 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="Selectionnez un fruits parmi : pomme, banane, mangue et myrtilles", sources=['upload', 'webcam'], type="pil"), | |
| outputs=[gr.Image(label="Image analyse"), gr.Label(label="Resultat", num_top_classes=3)], | |
| title="De quel fruit s'agit-il ?", | |
| ) | |
| if __name__ == "__main__": | |
| gradio_app.launch() | |