path_to_model

app.py

@@ -5,7 +5,8 @@ import pathlib
 import platform
 plt = platform.system()
 if plt == 'Windows': pathlib.PosixPath=pathlib.WindowsPath
-
+from pathlib import Path
+path_to_model=Path('export.pkl')
 # %% Untitled.ipynb 3
 def predict(img):
     labels=learn.dls.vocab
@@ -14,7 +15,7 @@ def predict(img):
     return {labels[i]:float(probs[i]) for i in range (len(labels))}
 
 # %% Untitled.ipynb 5
-learn=load_learner('export.pkl')
+learn=load_learner(path_to_model)
 
 # %% Untitled.ipynb 8
 examples = ["covid-19.jpg", "normal.jpg", "viral pneumonia.jpg"]