Update app.py

app.py

@@ -1,15 +1,21 @@
 import gradio as gr
 from fastai.vision.all import *
 
-def is_cat(x):return x[0].isupper()
 learn = load_learner('model.pkl')
-categories = ('Dog', 'Cat')
-def classify_image(img):
-    pred,idx,probs = learn.predict(img)
-    return dict(zip(categories, map(float,probs)))
 
+labels = learn.dls.vocab
 
-image = gr.inputs.Image(shape=(192, 192))
-label = gr.outputs.Label()
-intf = gr.Interface(fn=classify_image, inputs=image, outputs=label)
-intf.launch(inline=False)
+
+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))}
+
+
+title = "Pet Classifier"
+description = "A pet classifier trained on the duckduckgo search result 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 = ['isaac.jpg']
+
+gr.Interface(fn=predict, inputs=gr.Image(), outputs=gr.Label(num_top_classes=3),
+             title=title, description=description, article=article, examples=examples).launch()