check update

app.py

@@ -1,6 +1,6 @@
 import gradio as gr
 from fastai.vision.all import *
-import skimage
+
 
 
 learn = load_learner('export.pkl')
@@ -8,18 +8,17 @@ learn = load_learner('export.pkl')
 labels = learn.dls.vocab
 def predict(img):
     img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
+    _,_,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
 title = "Bear Detector"
 description = "A Bear classifier trained on the Duck Duck go data with fastai. Created as a demo for Gradio and HuggingFace Spaces."
-article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
 examples = ['grizzly.jpg','teddy.jpg','black.jpg']
 interpretation='default'
 enable_queue=True
 
 gr.Interface(fn=predict,
-             inputs=gr.inputs.Image(shape=(512, 512)),
+             inputs=gr.Image(height=512, width=512),
              outputs=gr.outputs.Label(num_top_classes=3),
              title=title,
              description=description,

requirements.txt

@@ -1,3 +1,2 @@
 fastai
-scikit-image
-gradio==3.50
+scikit-image