description

app.py

@@ -10,4 +10,7 @@ def predict(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.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
+gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3)).launch(share=True)
+
+title = "Lingerie brand classifier"
+description = "This classifier can identify whether your lingerie is from Studio PIA, Atelier Bordelle or Edge O'Beyond. Trained w/ fast.ai and a bunch of pictures found w/ DuckDuckGo"