somewhat cleanup app.py

app.py

@@ -4,18 +4,21 @@ from fastai.vision.all import *
 MODELS_PATH = Path('./models')
 EXAMPLES_PATH = Path('./examples')
 
-# Required function used by fastai learner (at training setup)
+# Required function expected by fastai learn object
+# it wasn't exported as a part of the pickle
+# as it was defined externally to the learner object
+# during the training time dataloaders setup
 def label_func(filepath):
     return filepath.parent.name
 
-learn = load_learner(MODELS_PATH/'food-101-resnet50.pkl')
+LEARN = load_learner(MODELS_PATH/'food-101-resnet50.pkl')
+LABELS = LEARN.dls.vocab
 
-labels = learn.dls.vocab
-
-def predict(img):
+def gradio_predict(img):
     img = PILImage.create(img)
-    pred,pred_idx,probs = learn.predict(img)
-    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+    _pred, _pred_idx, probs = LEARN.predict(img)
+    labels_probs = {LABELS[i]: float(probs[i]) for i, _ in enumerate(LABELS)}
+    return labels_probs
 
 with open('gradio_article.md') as f:
     article = f.read()
@@ -31,7 +34,7 @@ interface_options = {
     "allow_flagging": "never",
 }
 
-demo = gradio.Interface(fn=predict,
+demo = gradio.Interface(fn=gradio_predict,
                       inputs=gradio.inputs.Image(shape=(512, 512)),
                       outputs=gradio.outputs.Label(num_top_classes=5),
                       **interface_options)