Create app.py

app.py

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+import gradio as gr
+from fastai.vision.all import load_learner, PILImage
+ 
+# Meto 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))}
+ 
+# Ponemos titulo y descripción
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(),
+    outputs=gr.Label(num_top_classes=2),
+    title="Classifier",
+    description="Human vs Monkey").launch()