Upload app.py with huggingface_hub

app.py

@@ -1,11 +1,8 @@
+
 import gradio as gr
 from fastai.vision.all import *
 
-from huggingface_hub import from_pretrained_fastai
-
-repo_id = "codingmoh/cat-breed-identifier"
-
-learn = from_pretrained_fastai(repo_id)
+learn = load_learner('model.pkl')
 
 labels = learn.dls.vocab
 def predict(img):
@@ -18,4 +15,4 @@ description = "A pet breed classifier trained on the Oxford Pets dataset with fa
 interpretation='default'
 enable_queue=True
 
-gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,interpretation=interpretation,enable_queue=enable_queue).launch()
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch()