hello

app.py

@@ -1,7 +1,23 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
+categories = ('Black', 'Grizzly', 'Teddy')
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+# Modern API (Gradio 4.x)
+image = gr.Image(type="pil", height=192, width=192, label="Upload an Image")
+label = gr.Label()
+examples = ['black.jpg', 'bear.jpg', 'teddy.jpg']
+
+intf = gr.Interface(
+    fn=classify_image,
+    inputs=image,
+    outputs=label,
+    examples=examples
+)
+
+intf.launch()