app.py

app.py

@@ -1,7 +1,18 @@
+from fastai.vision.all import *
 import gradio as gr
+def is_cat(x): return x[0].isupper()
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pk1')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ('Dog','Cat')
+
+def classify_image(img):
+    pred, idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+lebel = gr.outputs.Label()
+examples = ['dog.jpg','cat.jpg','dunno.jpg']
+
+intf  = gr.Interface(fn=classify_image, inputs=image, outputs=lebel,examples=examples)
+intf.launch(inline=False)