image size

app.py

@@ -7,7 +7,7 @@ def classify_img(img):
     pred,idx,probs = learn.predict(img)
     return str(pred + ",   probability: " + str(round(torch.max(probs).item(), 4)) )
 
-image = gr.inputs.Image(shape=(192, 192))
+image = gr.inputs.Image(shape=(400, 400))
 label = gr.outputs.Label()
 
 intf = gr.Interface(fn=classify_img, inputs=image, outputs=label)