Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from fastai.vision.all import *
+
+model = load_learner('model.pkl')
+labels = model.dls.vocab
+
+def predict(img):
+    pred, pred_idex, probs = model.predict(img)
+    return {labels[i] : float(probs[i]) for i in range(len(labels))}
+
+ip = gr.Image(type="pil")
+op = gr.Label(num_top_classes=10)
+
+interface = gr.Interface(fn=predict, inputs=ip, outputs=op)
+interface.launch()