still the damn paths!

app.py

@@ -2,11 +2,14 @@ import gradio as gr
 
 from fastai.vision.all import *
 
-cur_path = Path('.')
+#fix path issues
+import pathlib
+temp = pathlib.PosixPath
+pathlib.PosixPath = pathlib.WindowsPath
 
 
 # load model
-learn = load_learner('model.pkl')
+learn = load_learner('./model.pkl')
 
 categories = ('CLEAR', 'PNEUMONIA')
 
@@ -14,10 +17,10 @@ def classify_image(img):
     pred, idx, probs = learn.predict(img)
     return dict(zip(categories, map(float, probs)))
 
-examples = ['unseen_data/NORMAL/NORMAL2-IM-1427-0001.jpeg', 
-            'unseen_data/PNEUMONIA/person1946_bacteria_4874.jpeg',
-            'unseen_data/NORMAL/NORMAL2-IM-1430-0001.jpeg',
-            'unseen_data/PNEUMONIA/person1946_bacteria_4875.jpeg']
+examples = ['./unseen_data/NORMAL/NORMAL2-IM-1427-0001.jpeg', 
+            './unseen_data/PNEUMONIA/person1946_bacteria_4874.jpeg',
+            './unseen_data/NORMAL/NORMAL2-IM-1430-0001.jpeg',
+            './unseen_data/PNEUMONIA/person1946_bacteria_4875.jpeg']
 
 intf = gr.Interface(fn=classify_image, inputs=gr.Image(type='pil'), outputs=gr.Label(), examples=examples)
 

requirements.txt

@@ -2,4 +2,5 @@ fastai
 torch
 gradio
 numpy
-pandas <2.0.0
+pandas <2.0.0
+pathlib