Initial model

app.py

@@ -1,7 +1,16 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+categories = ('ninja', 'not ninja')
+learn = load_learner('model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(192, 192))
+label = gr.outputs.Label()
+examples = []
+
+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:f4972bbbb0e72bac0674b1bec3cb09b2f351447b5582386d138431a27e65f6ac
+size 46952943