cleanup

app.py

@@ -9,9 +9,8 @@ def predict(img):
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-import gradio as gro
 
-title = "Pet Breed Classifier"
+title = "Norwegian Bunads Classifier"
 description = "A bunads classifier trained to classify if a bunad is a Nordlandsbunad, Trønderbunad, Hardangerbunaden, Vestfoldbunad"
 
 gr.Interface(fn=predict, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=4)).launch(share=True)