Upload 3 files

app.py

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+from fastai.vision.all import load_learner, PILImage
+import gradio as gr
+
+# Cargar el modelo
+learn = load_learner("model.pkl")
+labels = learn.dls.vocab
+
+# Función de predicción
+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))}
+
+# Crear la interfaz Gradio
+demo = gr.Interface(
+    fn=predict,
+    inputs=gr.Image(type="filepath"),
+    outputs=gr.Label(num_top_classes=3),
+    title="Lab Utensils Classifier",
+    description="Clasificador de utensilios de laboratorio"
+)
+
+demo.launch()

model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:238bfcac0da7d963859f72f83cbc2791b0e5a7f8ae8bcec8a3dbf53da3f70ecc
+size 14547195

requirements.txt

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+fastai
+gradio
+torch
+timm