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| #!/usr/bin/env python | |
| # coding: utf-8 | |
| from fastai.vision.all import * | |
| import gradio as gr | |
| learn = load_learner('export.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 = "NSFW image classifier" | |
| description = "A nsfw image classifier trained on the nsfw_data_scraper dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces." | |
| interpretation='default' | |
| enable_queue=True | |
| gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512,512)),outputs=gr.outputs.Label(num_top_classes=5),title=title,description=description,interpretation=interpretation,enable_queue=enable_queue).launch() | |