app.py

import gradio as gr
from transformers import pipeline

# Load the summarization model
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")

# Define the function to summarize text
def summarize_text(text):
    if not text.strip():
        return "Please enter some text to summarize."

    summary = summarizer(text, max_length=150, min_length=30, do_sample=False)
    return summary[0]["summary_text"]

# Create the Gradio interface
iface = gr.Interface(
    fn=summarize_text,
    inputs=gr.Textbox(lines=10, placeholder="Enter text to summarize..."),
    outputs="text",
    title="Text Summarization Chatbot",
    description="Enter a long text passage, and the chatbot will summarize it for you using the 'facebook/bart-large-cnn' model.",
    theme="compact"
)

# Launch the app
iface.launch()