app.py

app.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+labels = learn.dls.vocab
+examples = ['tlou.png', 'tw.png', 'ds.png', 'dmc.png', 'mgs.jpg', 'rdr.png']
+
+
+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))}
+
+
+gr.Interface(fn=predict,
+             inputs=gr.components.Image(shape=(512, 512)),
+             outputs=gr.components.Label(num_top_classes=6),
+             examples=examples
+             ).launch(share=False)
+