revert

app.py

@@ -1,9 +1,9 @@
 from fastai.vision.all import *
 import gradio as gr
 
-# import pathlib
-# temp = pathlib.PosixPath
-# pathlib.PosixPath = pathlib.WindowsPath
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
 
 cap_labels = (
     'balaclava cap', 
@@ -31,10 +31,10 @@ cap_labels = (
 model = load_learner('models/cap-recognizer-v2.pkl')
 
 def recognize_image(image):
-  pred, idx, probs = model.predict(image)
-  return dict(zip(cap_labels, map(float, probs)))
+    pred, idx, probs = model.predict(image)
+    return dict(zip(cap_labels, map(float, probs)))
 
-image = gr.inputs.Image(type='pil', shape=(192,192))
+image = gr.inputs.Image(shape=(192,192))
 label = gr.outputs.Label(num_top_classes=5)
 examples = [
     'test_images/unknown_00.jpg',