Init

app.py

@@ -1,7 +1,22 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_teddy(x): return x[0].isupper()
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+# Cell
+learn = load_learner('model.pk1')
+
+# Cell
+categories = ('Teddy', 'Grizzly')
+
+def classify_image(img):
+    pred,idx,probs = learn. predict(img)
+    return dict(zip(categories, map(float, probs) ))
+
+# Cell
+image = gr.inputs. Image(shape=(192, 192))
+label = gr. outputs.Label()
+examples = ['teddy.webp', 'grizzly.jpg', 'black.webp']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)