finished app.py

app.py

@@ -1,12 +1,6 @@
 import gradio as gr
 from fastai.vision.all import *
-#from huggingface_hub import push_to_hub_fastai
-from huggingface_hub import HfApi
-api = HfApi()
-repo_id = "JaxHax/ArduinoClassifier"
-api.upload_folder(repo_id=repo_id, repo_type="space", folder_path="./")
 learn = load_learner('model.pkl')
-#push_to_hub_fastai(learner=learn, repo_id=repo_id)
 catagories = ('Mega', 'Nano', 'Uno')
 def classify_image(img):
 	pred,idx,probs = learn.predict(img)