posix path in app.py

app.py

@@ -3,6 +3,11 @@ import torch, torch.nn as nn
 from fastai.vision.all import *
 import gradio as gr
 
+import pathlib
+
+from pathlib import PosixPath
+pathlib.PosixPath = pathlib.Path
+
 # ---------- 1. load the trained learner ----------
 learn = load_learner('bear_classifier.pkl')
 #embedding_model = nn.Sequential(*list(learn.model.children())[:-2])  # Match notebook logic here