finished app.py

app.py

@@ -1,7 +1,24 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner('model.pkl')
+
+categories = {'Dog', 'Cat', 'Bird', 'Koala'}
+
+def predict_image(img):
+    pred, pred_idx, probs = learn.predict(img)
+    probs_float = probs[0].item()
+    if probs_float > 0.5:
+        return dict(zip(categories, map(float, probs)))
+    else:
+        return "Not a dog, cat, bird, or koala"
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpg', 'cat.jpg', 'bird.jpg', 'koala.jpg']
+
+intf = gr.Interface(fn=predict_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+
+