app.py

import gradio as gr
import sys
from text_summary import summarize, setup

theme = gr.themes.Soft(
    primary_hue="purple",
    secondary_hue="cyan",
    neutral_hue="slate",
    font=[
        gr.themes.GoogleFont('Syne'), 
        gr.themes.GoogleFont('Poppins'), 
        gr.themes.GoogleFont('Poppins'), 
        gr.themes.GoogleFont('Poppins')
    ],
)

with gr.Blocks(theme=theme, title="NLP Text Summarizer", fill_height=True, fill_width=True) as app:
    with gr.Row():
        with gr.Column():
            raw_corpus = gr.Textbox(lines=10, label="Raw Corpus")
            submit = gr.Button(value="Summarize")
        summary = gr.Textbox(label="Summarized text", lines=15)
        submit.click(fn=summarize, inputs=raw_corpus, outputs=summary, api_name="nlp_summarizer")


status = setup()
if status:
    app.queue(default_concurrency_limit=5).launch(show_api=True)
else:
    sys.exit(1)