app.py

import gradio as gr
from inference_services import InferencePipe  # Assuming your script is saved as inference_pipe.py

# Instantiate the pipeline
pipe = InferencePipe()

# Gradio interface function
def punctuate_text(text: str, confidence_threshold: float = 0.7) -> str:
    return pipe.punctuate(text, conf_thresh=confidence_threshold)

# Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# Verbex Punctuation Restoration")
    gr.Markdown("Restore punctuation in raw, unpunctuated text using a token classification model.")

    with gr.Row():
        input_text = gr.Textbox(
            label="Input Text", 
            placeholder="enter text without punctuation here", 
            lines=6
        )
        output_text = gr.Textbox(
            label="Punctuated Output", 
            lines=6,
            interactive=False
        )

    conf_slider = gr.Slider(0.0, 1.0, value=0.7, step=0.01, label="Confidence Threshold")

    run_btn = gr.Button("Restore Punctuation")

    run_btn.click(fn=punctuate_text, inputs=[input_text, conf_slider], outputs=output_text)


demo.launch(share = True)