import gradio as gr
import fasttext
from huggingface_hub import hf_hub_download

model_path = hf_hub_download(repo_id="facebook/fasttext-language-identification", filename="model.bin")
model = fasttext.load_model(model_path)

def classify(input):
    labels,values = model.predict(input, k=5)
    paired = zip(labels, values)
    label_dict = dict(paired)
    label_dict = {k.removeprefix('__label__'): v for k, v in label_dict.items()}
    return label_dict

iface = gr.Interface(fn=classify, inputs="text", outputs="label")
iface.launch()