app.py

import gradio as gr
from transformers import pipeline

pipeline = pipeline(task="summarization", model="dross20/summarization_model")

def predict(input_text):
    predictions = pipeline(input_text)
    return predictions[0]['summary_text']

gradio_app = gr.Interface(
    predict,
    inputs = gr.Textbox(label="Enter text to be summarized"),
    outputs = gr.Textbox(label="Summarized text"),
    title="Text Summarizer",
    description="This application performs text summarization using a T5 model fined-tuned on a summarization dataset. Note that this application often takes 30 or more seconds to run."
)

if __name__ == "__main__":
    gradio_app.launch()