| import gradio as gr | |
| from fastai.vision.all import * | |
| from huggingface_hub import from_pretrained_fastai | |
| learn = from_pretrained_fastai("Flamerow/CS2_maps") | |
| 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 = "CS2 maps predictor" | |
| description = "Un modelo que intenta predecir el mapa en el cúal se esta jugando en este momento" | |
| examples = ['Mirage', 'Inferno', 'Dust2', 'Overpass'] | |
| gr.Interface( | |
| fn=predict, | |
| inputs=gr.Image(), | |
| outputs=gr.Label(num_top_classes=4), | |
| title=title, | |
| description=description, | |
| examples=examples, | |
| ).launch() |