| 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) |