Delete app.py

app.py

@@ -1,47 +0,0 @@
-from fastai.vision.all import *
-import gradio as gr
-
-# import pathlib
-# temp = pathlib.PosixPath
-# pathlib.PosixPath = pathlib.WindowsPath
-
-cap_labels = (
-    'balaclava cap', 
-     'baseball cap', 
-     'beanie cap', 
-     'boater hat', 
-     'bowler hat', 
-     'bucket hat', 
-     'cowboy hat', 
-     'fedora cap', 
-     'flat cap', 
-     'ivy cap', 
-     'kepi cap', 
-     'newsboy cap', 
-     'pork pie hat', 
-     'rasta cap', 
-     'sun hat', 
-     'taqiyah cap', 
-     'top hat', 
-     'trucker cap', 
-     'turban cap', 
-     'visor cap'
-)
-
-model = load_learner('cap-recognizer-v2.pkl')
-
-def recognize_image(image):
-    pred, idx, probs = model.predict(image)
-    return dict(zip(cap_labels, map(float, probs)))
-
-image = gr.inputs.Image(shape=(192,192))
-label = gr.outputs.Label(num_top_classes=5)
-examples = [
-    'unknown_00.jpg',
-    'unknown_01.jpg',
-    'unknown_02.jpg',
-    'unknown_03.jpg'
-    ]
-
-iface = gr.Interface(fn=recognize_image, inputs=image, outputs=label, examples=examples)
-iface.launch(inline=False)