Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from huggingface_hub import from_pretrained_fastai
+from fastai.learner import load_learner
+from PIL import Image
+from fastai.vision.all import load_learner
+
+
+repo_id = "JuncalG/Practica2"
+
+learner = from_pretrained_fastai(repo_id)
+labels = learner.dls.vocab
+
+
+def predict(img):
+    pred, pred_idx, probs = learner.predict(img)
+    return {str(learner.dls.vocab[i]): float(probs[i]) for i in range(len(probs))}
+
+# Usar componentes nuevos (Gradio moderno)
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="pil"), 
+    outputs=gr.Label(num_top_classes=5),
+    examples=['af3b0115aad1.png', 'b191ba0a2b12.png']
+)
+
+
+demo.launch(share=True)