app.py

import gradio as gr
from transformers import pipeline
fill_mask = pipeline("fill-mask", model="bert-base-uncased")
def complete_sentence(text):
    if "[MASK]" not in text:
        return "Please include [MASK] token in your input text"
    results = fill_mask(text)
    output = []
    for result in results:
        completed = f"Token: {result['token_str']} (Score: {result['score']:.3f})"
        output.append(completed)
    return "\n".join(output)
iface = gr.Interface(
    fn=complete_sentence,
    inputs=gr.Textbox(
        lines=3, 
        placeholder="Enter text with [MASK] token...",
        label="Input Text"
    ),
    outputs=gr.Textbox(
        lines=5,
        label="Completed Sentences"
    ),
    title="Sentence Completion",
    description="Enter a sentence with [MASK] token and get predictions for the masked word",
    examples=[
        ["The [MASK] is bright today."],
        ["I love to [MASK] in my free time."],
        ["She [MASK] to the store yesterday."]
    ],
    theme=gr.themes.Soft()
)
iface.launch()

if __name__ == '__main__':
    demo.launch()