app.py

import gradio as gr;
from transformers import pipeline;

pipeline = pipeline(task="image-classification", model="instantnoodle/Fruits-classifier")

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()