deploy

app.py

@@ -1,7 +1,19 @@
 import gradio as gr
+from fastai.vision.all import *
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('bedroom_or_kitchen.pkl', 'rb')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ("Bedroom", "Kitchen")
+
+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 = ['bedroom.jpg', 'quarto.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+
+intf.launch()

bedroom_or_kitchen.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:bc0296a2c5406a9b87f71f01412a107f96477edfd4c628545cf4638e7f99fa57
+size 47011499