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| import gradio as gr | |
| from huggingface_hub import hf_hub_download | |
| import fasttext | |
| model = fasttext.load_model(hf_hub_download("NbAiLab/nb-nordic-lid", "model.bin")) | |
| def identify(text): | |
| return model.predict(text) | |
| iface = gr.Interface(fn=identify, inputs="text", outputs="text") | |
| iface.launch() |