compensate for OS changes

app.py

@@ -4,6 +4,10 @@ import gradio as gr
 
 from PIL import Image, ImageEnhance
 import torchvision.transforms as T
+import pathlib
+plt = platform.system()
+print(str(plt))
+if plt == 'linux': pathlib.WindowsPath = pathlib.PosixPath
 
 def name_to_hrs (r): return float(round(float(os.path.basename(r)[0:-4].split("_")[1][1:])*(minutes/60)+5,2))
 def validation_split (r):  return os.path.basename(r)[0:-4].split("_")[3] == "R0003" or os.path.basename(r)[0:-4].split("_")[3] == "R0006"
@@ -28,4 +32,4 @@ def process_zebrafish_image(img):
     return dict(zip(T.ToPILImage(pred), map(float,age)))
 
 intf = gr.Interface(fn=process_zebrafish_image, inputs=gr.inputs.Image(shape=(512, 512)), outputs=[gr.outputs.Image(), gr.outputs.Label()]).launch(share=True)
-intf.launch(inline=False)
+intf.launch(inline=False)