added the part that actually loads the model

app.py

@@ -1,5 +1,17 @@
 
 import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+
+learn = load_learner('export.pkl')
+
+labels = learn.dls.vocab
+def 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))}
+
 
 title = "Bear Classifier"
 description = "A classifier that differentiates between grizzly, black, and teddy bears."