Spaces:
Runtime error
Runtime error
| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner("ndpaircraft.pkl") | |
| labels = learn.dls.vocab | |
| def predict(img): | |
| img = PILImage.create(img) | |
| pred, pred_idx, probs = learn.predict(img) | |
| return {labels[i]: float(probs[i]) for i in range(len(labels))} | |
| title = "NDP Aircraft Classifier" | |
| description = "A NDP Aircraft classifier trained on images downloaded from the internet. Created as a demo for Gradio and HuggingFace Spaces." | |
| image = gr.Image(shape=(224, 224)) | |
| label = gr.Label() | |
| examples = ["f15.png", "f16.jpg", "chinook.jpg", "apache.jpg"] | |
| interpretation = "default" | |
| intf = gr.Interface( | |
| fn=predict, | |
| inputs=image, | |
| outputs=label, | |
| title=title, | |
| description=description, | |
| examples=examples, | |
| interpretation=interpretation, | |
| ) | |
| intf.launch(share=True) |