app.py

import gradio as gr

from src.TextSummarizer.pipeline.prediction import PredictionPipeline


def predict(document):
    """
    Method will take the document and summarize it.
    """

    # predict the summary using my own pre-trained model.
    summary = PredictionPipeline().predict(document)
    return summary


# Create the frontend.
input_interfaces: list = []

with gr.Blocks(theme=gr.themes.Soft()) as app:
    with gr.Row():
        gr.Label("Text Summarizer...")

    with gr.Row():
        gr.Markdown("Type in your document which you wanna summarize...")

with gr.Row():
    with gr.Column():
        gr.Label("gonna be the input box")
    with gr.Column():
        gr.Label("gonna be the output box")



app.launch()