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import gradio as gr | |
from flair.data import Sentence | |
from flair.models import SequenceTagger | |
model_path = "onurkeles/hamshetsnag-pos-tagger" | |
pos_tagger = SequenceTagger.load(model_path) | |
def tag_pos(text): | |
sentence = Sentence(text) | |
pos_tagger.predict(sentence) | |
return sentence.to_tagged_string() | |
gradio_app = gr.Interface( | |
fn=tag_pos, | |
inputs=gr.Textbox(lines=2, placeholder="Enter a sentence here...", label="Input Sentence"), | |
outputs=gr.Textbox(label="Tagged Sentence"), | |
title="POS Tagging for Hamshetsnag", | |
description="This app tags parts of speech in input sentences. Cite Keleş & Günay (2024) lol." | |
) | |
if __name__ == "__main__": | |
gradio_app.launch() |