app.py

import gradio as gr
from transformers import pipeline
import PyPDF2

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

def summarize_pdf(pdf_file):
    if pdf_file is None:
        return "❌ Please upload a PDF file first."
    
    try:
        reader = PyPDF2.PdfReader(pdf_file)
        text = ""
        for page in reader.pages:
            text += page.extract_text() or ""
        
        text = text[:2000]  # limit to avoid too long input
        summary = summarizer(text, max_length=150, min_length=30, do_sample=False)[0]['summary_text']
        return summary
    except Exception as e:
        return f"❌ Error reading PDF: {str(e)}"

with gr.Blocks(css="""
    body {background: #f0f4f8; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;}
    #main_container { max-width: 720px; margin: auto; padding: 2rem; background: white; 
                     box-shadow: 0 8px 24px rgba(149, 157, 165, 0.2); border-radius: 12px; }
    .btn-primary {background: #3b82f6; color: white; font-weight: 600; padding: 0.8rem 1.6rem;
                  border-radius: 8px; border: none; transition: background 0.3s;}
    .btn-primary:hover {background: #2563eb;}
    .scroll-box {max-height: 220px; overflow-y: auto; padding: 1rem; border: 1px solid #ddd; border-radius: 8px; background: #fafafa;}
""") as demo:

    with gr.Column(elem_id="main_container"):
        gr.Markdown(
            """
            <h1 style="text-align:center; color:#1e40af;">📄 PDF Summarizer</h1>
            <p style="text-align:center; color:#475569;">
            Upload your PDF and get a crisp summary generated by Hugging Face's BART model.
            </p>
            """
        )
        
        pdf_input = gr.File(label="Upload PDF file", file_types=[".pdf"], interactive=True)
        summary_output = gr.Textbox(label="Summary", interactive=False, elem_classes="scroll-box", lines=8)
        summarize_btn = gr.Button("Generate Summary", elem_classes="btn-primary")

        summarize_btn.click(fn=summarize_pdf, inputs=pdf_input, outputs=summary_output)

        gr.Markdown(
            """
            <footer style="text-align:center; margin-top:2rem; font-size:0.9rem; color:#94a3b8;">
            Made with ❤️ by YourName | Powered by Hugging Face & Gradio
            </footer>
            """
        )

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