Upload app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from fastai.vision.all import *
+
+
+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))}
+
+
+title = "Gradio test"
+description = "Quick Fastai classifier for Disney Channel old series."
+examples = ['lizzie4.jpg', 'raven4.jpg', 'waverly.jgp', 'hannahmontana.jgp', 'tvsuite2.jpg',]
+
+gr.Interface(
+    fn=predict,
+    inputs=gr.Image(),
+    outputs=gr.Label(num_top_classes=2),
+    title=title,
+    description=description,
+    examples=examples,
+).launch()
+iface.launch()