Upload 5 files

app.py

@@ -1,7 +1,23 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def is_cat(x): return x[0].isupper()
+
+
+learn = load_learner('model.pkl')
+
+categories = ('Dog', 'Cat')
+
+
+def classify_image(img):
+    pred, ids, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = ['dog.jpeg', 'cat1.jpeg', 'dunno.jpeg']
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:36a1fbbcd5e115930a503ee083d465d423797ca5a1e60786aa26d3aa94f37b74
+size 47058385