Upload 3 files

app.py

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+
+import gradio as gr
+from fastai.vision.all import load_learner
+
+# Cargamos el modelo
+learn = load_learner('model.pkl')
+labels = learn.dls.vocab
+
+def predict(img):
+    img = PILImage.create(img)
+    pred, pred_idx, probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+# Interfaz de Gradio
+interface = gr.Interface(
+    fn=predict, 
+    inputs=gr.Image(shape=(512, 512)), 
+    outputs=gr.Label(num_top_classes=3),
+    title="Clasificador de Utensilios de Laboratorio",
+    description="Sube una foto de un utensilio para identificarlo."
+)
+
+interface.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:73c90e917058d6ced8b2983b8bde626fdd28ccbcbfeb96a954d8b846aaeab763
+size 87474183

requirements.txt

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+
+fastai
+gradio