added examples and project code

app.py

@@ -0,0 +1,17 @@
+import gradio as gr
+from fastai.vision.all import *
+from huggingface_hub import push_to_hub_fastai
+repo_id = "JaxHax/ArduinoClassifier"
+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)
+	return dict(zip(catagories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['uno.jpg', 'nano.jpg', 'mega.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)