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Create app.py
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app.py
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import gradio as gr
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from transformers import pipeline
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import PyPDF2
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summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
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def summarize_pdf(pdf_file):
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if pdf_file is None:
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return "❌ Please upload a PDF file first."
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try:
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reader = PyPDF2.PdfReader(pdf_file)
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text = ""
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for page in reader.pages:
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text += page.extract_text() or ""
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text = text[:2000] # limit to avoid too long input
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summary = summarizer(text, max_length=150, min_length=30, do_sample=False)[0]['summary_text']
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return summary
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except Exception as e:
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return f"❌ Error reading PDF: {str(e)}"
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with gr.Blocks(css="""
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body {background: #f0f4f8; font-family: 'Segoe UI', Tahoma, Geneva, Verdana, sans-serif;}
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#main_container { max-width: 720px; margin: auto; padding: 2rem; background: white;
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box-shadow: 0 8px 24px rgba(149, 157, 165, 0.2); border-radius: 12px; }
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.btn-primary {background: #3b82f6; color: white; font-weight: 600; padding: 0.8rem 1.6rem;
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border-radius: 8px; border: none; transition: background 0.3s;}
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.btn-primary:hover {background: #2563eb;}
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.scroll-box {max-height: 220px; overflow-y: auto; padding: 1rem; border: 1px solid #ddd; border-radius: 8px; background: #fafafa;}
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""") as demo:
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with gr.Column(elem_id="main_container"):
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gr.Markdown(
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"""
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<h1 style="text-align:center; color:#1e40af;">📄 PDF Summarizer</h1>
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<p style="text-align:center; color:#475569;">
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Upload your PDF and get a crisp summary generated by Hugging Face's BART model.
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</p>
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"""
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)
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pdf_input = gr.File(label="Upload PDF file", file_types=[".pdf"], interactive=True)
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summary_output = gr.Textbox(label="Summary", interactive=False, elem_classes="scroll-box", lines=8)
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summarize_btn = gr.Button("Generate Summary", elem_classes="btn-primary")
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summarize_btn.click(fn=summarize_pdf, inputs=pdf_input, outputs=summary_output)
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gr.Markdown(
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"""
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<footer style="text-align:center; margin-top:2rem; font-size:0.9rem; color:#94a3b8;">
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Made with ❤️ by YourName | Powered by Hugging Face & Gradio
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</footer>
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"""
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)
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if __name__ == "__main__":
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demo.launch()
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