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app.py

@@ -1,7 +1,24 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
+
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+with gr.Blocks() as demo:
+    image = gr.Image(type="pil")
+    label = gr.Label()
+    examples = gr.Examples(['dog.jpg', 'cat.jpg', 'dunno.jpg'], image)
+    
+    classify_btn = gr.Button("Classify")
+    classify_btn.click(fn=classify_image, inputs=image, outputs=label)
+
+# Launch the interface
+demo.launch(inline=False)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc73bd893aef1e327981951358c7ea3ba5e5f09718d192094ca5ac7c4cbe7e54
+size 47061419