run the model

.gitignore

@@ -1 +1,3 @@
 .idea
+.venv
+model.pkl

app.py

@@ -1,7 +1,27 @@
+__all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
+
+# Cell
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+# Cell
+learn = load_learner('model.pkl')
+
+# Cell
+categories = (
+    'bad', 'balkong', 'hage', 'info', 'kjeller', 'kjøkken', 'kontor', 'loft', 'parkering', 'plantegning', 'soverom', 'stue',
+    'umøblert', 'utsikt', 'vaskerom')
+
+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 = ['kjøkken.jpg', 'soverom.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)
+