add packgaes to requirements

app.py

@@ -7,14 +7,17 @@ learner = load_learner("model.pkl")
 categories = ("cat", "dog")
 
 def classify_image(img):
+    if img is None:
+        return {}
+    img = PILImage.create(img)
     pred, pred_idx, probs = learner.predict(img)
-    return {categories[i]: float(probs[i]) for i in range(len(categories))}
+    return dict(zip(categories, map(float, probs)))
 
 demo = gr.Interface(
     fn=classify_image,
     inputs=gr.Image(type="pil"),
     outputs=gr.Label(),
-    examples=["cat1.jpeg", "dog1.avif", "cat2.jpeg", "dog2.webp"],
+    examples=["cat1.jpeg", "dog1.jpeg", "cat2.jpeg", "dog2.jpg"],
 )
 
 demo.launch()