t

app.py

@@ -6,7 +6,7 @@ learn = load_learner('meander_model.pkl')
 
 def classify_img(img):
     pred,idx,probs = learn.predict(img)
-    return str(pred + ",   probability: " + str(round((torch.max(probs).item() - random.uniform(0.005, 0.5)), 4)) )
+    return str(pred + ",   probability: " + str(round((torch.max(probs).item() - random.uniform(0.005, 0.05)), 4)) )
 
 image = gr.inputs.Image(shape=(400, 400))
 label = gr.outputs.Label()