rand

app.py

@@ -1,5 +1,6 @@
 from fastai.vision.all import *
 import gradio as gr
+import random
 
 learn = load_learner('meander_model.pkl')
 
@@ -8,7 +9,7 @@ def classify_img(img):
     return str(pred + ",   probability: " + str(round(torch.max(probs).item(), 4)) )
 
 image = gr.inputs.Image(shape=(400, 400))
-label = gr.outputs.Label()
+label = gr.outputs.Label() - random.randint(0.0008,0.001)
 
 intf = gr.Interface(fn=classify_img, inputs=image, outputs=label)
 intf.launch(inline=False)