| from fastai.vision.all import * | |
| import gradio as gr | |
| classifier=load_learner("model.pkl") | |
| labels = classifier.dls.vocab | |
| def classify_image(img): | |
| img = PILImage.create(img) | |
| pred,pred_ix,pred_prob = classifier.predict(img) | |
| return dict(zip(labels,map(float,pred_prob))) | |
| images = gr.inputs.Image(shape=(192,192)) | |
| label = gr.outputs.Label(num_top_classes=4) | |
| examples = ['airplane.jpg','helicopter.jpg','missile.jpg','rocketship.jpg'] | |
| intr = gr.Interface(fn = classify_image,inputs=images,outputs=label,examples=examples) | |
| intr.launch(inline=False) |