updated app (4)

app.py

@@ -2,9 +2,12 @@ from fastai.vision import *
 from fastai.learner import load_learner
 from PIL import Image
 import gradio as gr
-from pathlib import Path
 
-learn = load_learner(Path("model.pkl"))
+import pathlib, platform
+plt = platform.system()
+if plt == 'Linux': pathlib.WindowsPath = pathlib.PosixPath
+
+learn = load_learner("model.pkl")
 categories = list(learn.dls.vocab)
 
 
@@ -17,7 +20,7 @@ image = gr.inputs.Image(shape=(192,192))
 # Whats the gradio output type? Label
 label = gr.outputs.Label()
 # Set up some examples
-examples = [Path("examples/kairi.jpg"), Path("examples/riku.jpg"), Path("examples/sora.jpg")]
+examples = ["examples/kairi.jpg", "examples/riku.jpg", "examples/sora.jpg"]
 
 intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
 intf.launch(inline=False)