import gradio as gr


from typing import List

from punctuators.models import SBDModelONNX

# Instantiate this model
# This will download the ONNX and SPE models. To clean up, delete this model from your HF cache directory.
m = SBDModelONNX.from_pretrained("sbd_multi_lang")

def sentence_boundary_detection(name):
    # Run inference
    results: List[List[str]] = m.infer(input_texts)
    return "\n".join(results), len(results)


# Gradio interface
iface = gr.Interface(
    fn=sentence_boundary_detection,
    inputs=gr.Textbox(label="Input Text", lines=10, maximum_lines = 200,  placeholder="Enter text here..."),
    outputs=[
        gr.Textbox(label="Sentences", lines=10, maximum_lines = 200, placeholder="Sentences will appear here..."),
        gr.Number(label="Number of Sentences")
    ],
    title="Sentence Boundary Detection",
    description="Enter text to detect sentence boundaries and count the number of sentences."
)

# Launch the Gradio app
iface.launch()