ai_text_summarizer.py

import gradio as gr
from transformers import pipeline

# Load summarizer pipeline (T5 model, lightweight)
summarizer = pipeline("summarization", model="t5-small")

def summarize_text(text):
    summary = summarizer(text, max_length=60, min_length=10, do_sample=False)
    return summary[0]['summary_text']

# Gradio interface
iface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(
        lines=8,
        placeholder="Paste any article or text here...",
        label="Input Text"
    ),
    outputs=gr.Textbox(
        lines=5,              # Bigger visible box
        placeholder="Summary will appear here...",
        label="Summary",
        interactive=False      # Makes it read-only
    ),
    title="AI Text Summarizer 📝✨",
    description="Summarize long text into short, clear insights quickly."
)

iface.launch()