Add application file

app.py

@@ -1,21 +1,18 @@
 import gradio as gr
 from fastai.vision.all import *
 
-
-
-def is_cat(x): return x[0].isupper() 
-
-learner = load_learner('model.pkl')
-
-categories = ('cat', 'dog')
+learner = load_learner("model.pkl")
+categories = ("cat", "dog")
 
 def classify_image(img):
     pred, pred_idx, probs = learner.predict(img)
-    return dict(zip(categories, map(float, probs)))
+    return {categories[i]: float(probs[i]) for i in range(len(categories))}
 
-image = gr.inputs.Image(shape=(224, 224))
-label = gr.outputs.Label()
-example_images = ['cat1.jpeg', 'dog1.avif', 'cat2.jpeg', 'dog2.webp']
+demo = gr.Interface(
+    fn=classify_image,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Label(),
+    examples=["cat1.jpeg", "dog1.avif", "cat2.jpeg", "dog2.webp"],
+)
 
-demo = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=example_images)
-demo.launch(inline=False)
+demo.launch()