Initial app

Add initial test version of app

.gitattributes

@@ -29,3 +29,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+model.pkl filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from fastbook import *
+from fastai.vision.widgets import *
+
+categories = ('Kidby', 'Kirby', 'Simonetti')
+
+def classify_image(img):
+    pred, idx, probs = learn.predict(img)
+    return dict(zip(categories, map(float, probs)))
+    
+class PILImageRGBA(PILImage): _show_args,_open_args = {'cmap':'Viridis'},{'mode': 'RGB'} # Used for loading RGBA input images
+    
+learn = load_learner('model.pkl')
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['kidby.jpg', 'kirby.jpg', 'simonetti.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2da21e1ee06717a9c2272b29d6468a7edcf60b8cda6190c07de61d2b3f632e68
+size 102886297