Create app.py

app.py

@@ -0,0 +1,15 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return {learn.dls.vocab[i]: float(probs[i]) for i in range(len(probs))}
+
+demo = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(),
+    outputs=gr.Label()
+)
+demo.launch()