trying

app.py

@@ -5,13 +5,13 @@ import pathlib, os
 
 classes = ['rock', 'paper', 'scissors'] # c0, c1, c2
 
-def classify_image(img, model):
+def classify_image(img, model='rock-paper-scissors-resnet34.pkl'):
     if os.name == 'nt': # workaround for Windows
         pathlib.PosixPath = pathlib.WindowsPath 
     if os.name == 'posix': # workaround for Linux
             pathlib.WindowsPath = pathlib.PosixPath 
 
-    learn = load_learner(model, cpu=True)
+    learn = load_learner(model)
     pred,idx,probs = learn.predict(img)
     return dict(zip(classes, map(float, probs)))