Update gradio_demo.py
Browse files- gradio_demo.py +40 -4
gradio_demo.py
CHANGED
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@@ -13,7 +13,33 @@ import gradio as gr
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from pdf_attacker import PDFAttacker
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# Theme customization per request
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theme = gr.themes.Soft(
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@@ -63,6 +89,8 @@ def generate_pdf(
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mode: str,
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attack_factor: float = 0.7,
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target_text: str = "",
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) -> Tuple[str, str]:
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"""Generate selected PDF and return (pdf_path, extracted_text)
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@@ -77,6 +105,10 @@ def generate_pdf(
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# Clean input text
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clean_text = " ".join(text.split())
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try:
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if mode == 'normal':
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attacker.create_normal_pdf(text=clean_text, output_path=output_path)
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@@ -110,18 +142,22 @@ def build_demo():
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attack_factor = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, value=0.7, label='Attack factor (attacked mode)')
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target_text = gr.Textbox(lines=2, label='Target text (targeted mode)')
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generate = gr.Button('Generate PDF')
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download_file = gr.File(label='Download generated PDF')
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extracted_preview = gr.Textbox(lines=8, label='Extracted text preview')
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def _on_generate(text, mode, attack_factor, target_text):
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path, extracted = generate_pdf(text=text, mode=mode, attack_factor=attack_factor, target_text=target_text)
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if not path:
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# Return empty file and error message in preview
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return None, extracted
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return path, extracted
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generate.click(fn=_on_generate, inputs=[txt, mode, attack_factor, target_text], outputs=[download_file, extracted_preview])
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return demo
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from pdf_attacker import PDFAttacker
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def _resolve_font_path(choice: str, uploaded_file) -> str:
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"""Return a font path given a dropdown choice or uploaded file.
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If choice is 'auto' return None so PDFAttacker will pick a reasonable default.
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"""
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if choice == 'auto' or not choice:
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return None
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# known presets mapped to common system paths
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presets = {
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'DejaVu Serif': '/usr/share/fonts/truetype/dejavu/DejaVuSerif.ttf',
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'Liberation Serif': '/usr/share/fonts/truetype/liberation/LiberationSerif-Regular.ttf',
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'FreeSerif': '/usr/share/fonts/truetype/freefont/FreeSerif.ttf',
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}
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if choice in presets:
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p = presets[choice]
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return p if os.path.exists(p) else None
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# custom uploaded file: gradio returns a local path-like string or dict
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if choice == 'Custom' and uploaded_file:
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# uploaded_file may be a dict-like object or a str path
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if isinstance(uploaded_file, dict) and 'name' in uploaded_file:
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return uploaded_file['name']
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return uploaded_file
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return None
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# Theme customization per request
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theme = gr.themes.Soft(
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mode: str,
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attack_factor: float = 0.7,
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target_text: str = "",
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font_choice: str = 'auto',
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uploaded_font=None,
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) -> Tuple[str, str]:
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"""Generate selected PDF and return (pdf_path, extracted_text)
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# Clean input text
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clean_text = " ".join(text.split())
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# resolve font path and create an attacker instance for this request
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font_path = _resolve_font_path(choice=font_choice, uploaded_file=uploaded_font)
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attacker = PDFAttacker(font_path=font_path)
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try:
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if mode == 'normal':
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attacker.create_normal_pdf(text=clean_text, output_path=output_path)
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attack_factor = gr.Slider(minimum=0.0, maximum=1.0, step=0.05, value=0.7, label='Attack factor (attacked mode)')
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target_text = gr.Textbox(lines=2, label='Target text (targeted mode)')
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generate = gr.Button('Generate PDF')
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# Font selection: presets + custom upload
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font_choice = gr.Dropdown(choices=['auto', 'DejaVu Serif', 'Liberation Serif', 'FreeSerif', 'Custom'], value='auto', label='Font')
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upload_font = gr.File(label='Upload TTF/OTF (optional)', file_count='single')
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download_file = gr.File(label='Download generated PDF')
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extracted_preview = gr.Textbox(lines=8, label='Extracted text preview')
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def _on_generate(text, mode, attack_factor, target_text, font_choice, upload_font):
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path, extracted = generate_pdf(text=text, mode=mode, attack_factor=attack_factor, target_text=target_text, font_choice=font_choice, uploaded_font=upload_font)
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if not path:
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# Return empty file and error message in preview
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return None, extracted
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return path, extracted
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generate.click(fn=_on_generate, inputs=[txt, mode, attack_factor, target_text, font_choice, upload_font], outputs=[download_file, extracted_preview])
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return demo
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