from transformers import pipeline
import gradio as gr

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

# Define what the app does when someone enters text
def summarize_text(text):
    if not text.strip():
        return "⚠️ Oops! Looks like you forgot to enter some text."
    summary = summarizer(text, max_length=130, min_length=30, do_sample=False)[0]['summary_text']
    return summary

# Friendly title and helpful description
title = "📘 Smart Text Summarizer"
description = """
Tired of reading long paragraphs? Paste any article, essay, or block of text here,  
and this tool will give you a clear, to-the-point summary using AI.  
Great for studying, writing, or just saving time!
"""

# Some examples to help users get started
examples = [
    ["India is known for its cultural diversity, historical landmarks, and varied geography..."],
    ["Climate change continues to impact our planet, causing rising temperatures and extreme weather events..."],
    ["Artificial Intelligence has evolved over decades, starting from simple rule-based systems to powerful models like GPT..."]
]

# Build the interface
with gr.Blocks(css=".gradio-container {background-color: #f0f4f8;} textarea {font-size: 16px;}") as demo:
    gr.Markdown(f"# {title}")
    gr.Markdown(description)

    with gr.Row():
        with gr.Column():
            input_text = gr.Textbox(
                label="✍️ Paste your text here",
                placeholder="Drop in an article, essay, or book paragraph...",
                lines=14,
                show_copy_button=True
            )
            submit_btn = gr.Button("🪄 Summarize it!", variant="primary")
        with gr.Column():
            output = gr.Textbox(
                label="✅ Here's your summary",
                lines=12,
                interactive=False,
                show_copy_button=True
            )

    # Button action
    submit_btn.click(fn=summarize_text, inputs=input_text, outputs=output)

    # Example use cases
    gr.Examples(
        examples=examples,
        inputs=input_text,
        outputs=output,
        fn=summarize_text,
        label="🔍 Try one of these examples"
    )

# Run the app
if __name__ == "__main__":
    demo.launch(server_name="0.0.0.0", server_port=7860)