app.py

import gradio as gr
from transformers import pipeline

# Load the text summarization pipeline
summarizer = pipeline("summarization", model="astro21/Llama-2-7b-chat-hf")

def summarize_text(input_text):
    # Use the summarization pipeline to generate a summary
    summarized_text = summarizer(input_text, max_length=128, min_length=64, do_sample=False , wait_for_model = True)
    return summarized_text[0]['summary_text']

gr.Interface(
    fn=summarize_text,
    inputs=gr.inputs.Textbox(label="Enter the text to summarize"),
    outputs=gr.outputs.Textbox(label="Summarized Text"),
    title="Text Summarizer",
).launch()