| # %% ../hugging-space-model-app.ipynb 4 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| # %% ../hugging-space-model-app.ipynb 7 | |
| learn = load_learner('model1.pkl') | |
| # %% ../hugging-space-model-app.ipynb 9 | |
| labels = ['Dog','Cat'] | |
| def classify_image(img): | |
| img = PILImage.create(img) | |
| pred,pred_idx,probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| # %% ../hugging-space-model-app.ipynb 11 | |
| image = gr.components.Image() | |
| label = gr.components.Label(show_label=True) | |
| examples = ['dog.jpg','cat.jpg'] | |
| intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples) | |
| intf.launch(inline=False) |