Create app.py

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('Landschaften.pkl')
+labels = learn.dls.vocab
+
+def predict(img):
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    
+title = "Land, Berge oder Strand?"
+description = "Ein Klassifikator für drei Landschaften in Bildern"
+interpretation='default'
+enable_queue=True
+
+iface = gr.Interface(fn=predict,
+             inputs=gr.Image(shape=(512, 512)),
+             outputs=gr.Label(),
+             title=title,
+             description=description)
+iface.queue()
+iface.launch()