Subiendo modelo y app de Pokémon

app.py

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+
+from fastai.vision.all import *
+import gradio as gr
+
+# Cargar el modelo
+learn = load_learner('modelo_pokemon.pkl')
+categories = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {categories[i]: float(probs[i]) for i in range(len(categories))}
+
+# Interfaz
+gr.Interface(
+    fn=predict, 
+    inputs=gr.Image(), 
+    outputs=gr.Label(num_top_classes=3),
+    title="Detector de Tipos Pokémon"
+).launch()

modelo_pokemon.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:16c39ba669a073d6cc68df14dccf47b5dd773fd7a85dabbfa0f67291637376ec
+size 115047525

requirements.txt

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+fastai
+timm
+gradio