| import gradio as gr | |
| from fastai.vision.all import * | |
| import skimage | |
| learn = load_learner('jha2ee/riffusion-model-v1') | |
| 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 = "StableDiffusion_SoundFX" | |
| description = "Generate sound FX" | |
| article = "<p style='text-align: center'><a href='https://huggingface.co/riffusion/riffusion-model-v1' " \ | |
| "target='_blank'>Blog post</a></p> " | |
| examples = ['sample.jpeg'] | |
| interpretation = 'default' | |
| enable_queue = True | |
| gr.Interface( | |
| fn=predict, | |
| inputs=gr.inputs.Image(shape=(512, 512)), | |
| outputs=gr.outputs.Label(num_top_classes=3), | |
| title=title, | |
| description=description, | |
| article=article, | |
| examples=examples, | |
| interpretation=interpretation, | |
| enable_queue=enable_queue | |
| ).launch() | |