working

app.py

@@ -1,16 +1,23 @@
 import gradio as gr
+from fastai.vision.all import *
+import skimage
 
-learn = load_learner('cat_or_dog.pkl')
+def is_cat(x): return x[0].isupper() 
 
-def predict(image):
-    img = PILImage.create(image)
+learn = load_learner('dog_or_cat.pkl')
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
     pred,pred_idx,probs = learn.predict(img)
     return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-gr.Interface(
-    fn=predict, 
-    inputs=gr.inputs.Image(shape=(512, 512)), 
-    outputs=gr.outputs.Label(num_top_classes=3)
-).launch(share=True)
+title = "Is it a Cat?"
+examples = ['cat_ex.jpg', 'dog_ex.jpg']
 
-demo.launch()
+gr.Interface(
+    fn=predict,
+    inputs=gr.components.Image(height=512, width=512),
+    outputs=gr.components.Label(),
+    title=title,
+    examples=examples,
+).launch()