f

app.py

@@ -1,7 +1,24 @@
+# Cell
+from fastai.vision.all import *
+from huggingface_hub import push_to_hub_fastai, from_pretrained_fastai
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+def is_cat(x): return x[0].isupper()
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Cell
+learn = from_pretrained_fastai("fastai/cat_or_dog")
+
+# Cell
+categories = ('Dog', 'Cat')
+
+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 = ['dog.jpg', 'cat.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch()

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image