update to watches learner

app.py

@@ -1,10 +1,10 @@
-import timm
 import gradio as gr
 from fastai.vision.all import *
 import skimage
 from PIL import Image
+from timm import *
 
-learn = load_learner('european-ceramics.pkl')
+learn = load_learner('auctionet-model.pkl')
 labels = learn.dls.vocab
 
 def classify_image(img):
@@ -13,5 +13,5 @@ def classify_image(img):
     return dict(zip(labels, map(float, probs)))
 
 
-iface = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), interpretation="default", title="Svensk keramik-AI")
-iface.launch(inline=False)
+iface = gr.Interface(fn=classify_image, inputs=gr.inputs.Image(shape=(512, 512)), outputs=gr.outputs.Label(num_top_classes=3), interpretation="default", title="Watches classifier")
+iface.launch(share=True,inline=False)

auctionet-model.pkl

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:1a4499481892159340e6035d1008e2496a53a540222bcba4c0783ea924a5cacb
-size 114667289
+oid sha256:5bafeb7db184cbe019dfd7a421c03dd9de2c3892f86a228c4ce173439dfb7839
+size 114682841