Init Gradio app

app.py

@@ -0,0 +1,18 @@
+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()