Upload 2 files
Browse files- app.py +233 -0
- requirements.txt +8 -0
app.py
ADDED
@@ -0,0 +1,233 @@
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import spaces
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import gradio as gr
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import json
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import os
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from pathlib import Path
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import logging
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from docling.document_converter import DocumentConverter
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from docling.datamodel.base_models import InputFormat, DocumentStream
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from docling.datamodel.pipeline_options import PdfPipelineOptions, TableFormerMode
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from docling.document_converter import PdfFormatOption
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import requests
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from urllib.parse import urlparse
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from datetime import datetime
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import tempfile
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from docx import Document
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from docx.shared import Inches
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import markdown
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# Set up logging
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logging.basicConfig(level=logging.DEBUG)
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logger = logging.getLogger(__name__)
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def is_valid_url(url):
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try:
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result = urlparse(url)
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return all([result.scheme, result.netloc])
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except:
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return False
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def markdown_to_docx(markdown_content):
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"""Convert markdown content to DOCX format"""
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doc = Document()
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# Split content into lines
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lines = markdown_content.split('\n')
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for line in lines:
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# Handle headers
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if line.startswith('# '):
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doc.add_heading(line[2:], level=1)
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elif line.startswith('## '):
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doc.add_heading(line[3:], level=2)
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elif line.startswith('### '):
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doc.add_heading(line[4:], level=3)
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# Handle lists
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elif line.startswith('* ') or line.startswith('- '):
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doc.add_paragraph(line[2:], style='List Bullet')
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elif line.startswith('1. '):
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doc.add_paragraph(line[3:], style='List Number')
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# Handle normal text
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elif line.strip():
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doc.add_paragraph(line)
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# Handle empty lines
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else:
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doc.add_paragraph()
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return doc
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def create_output_files(content, original_name):
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"""Create temporary files for different formats and return their paths"""
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files = {}
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# Generate base filename
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base_name = Path(original_name).stem
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timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
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# Create markdown file
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md_path = tempfile.NamedTemporaryFile(delete=False, suffix='.md').name
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with open(md_path, "w", encoding="utf-8") as f:
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f.write(content)
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files['markdown'] = md_path
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# Create JSON file
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json_content = {
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"title": original_name,
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"content": content,
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"metadata": {
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"conversion_date": datetime.now().isoformat()
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}
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}
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json_path = tempfile.NamedTemporaryFile(delete=False, suffix='.json').name
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with open(json_path, "w", encoding="utf-8") as f:
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json.dump(json_content, f, ensure_ascii=False, indent=2)
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files['json'] = json_path
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# Create proper DOCX file
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docx_path = tempfile.NamedTemporaryFile(delete=False, suffix='.docx').name
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doc = markdown_to_docx(content)
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doc.save(docx_path)
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files['docx'] = docx_path
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return files
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@spaces.GPU()
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def process_document(input_type, file_input, url_input, use_gpu, table_mode):
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try:
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logger.debug(f"Processing with input type: {input_type}")
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logger.debug(f"File input: {file_input}")
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# Configure pipeline
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pipeline_options = PdfPipelineOptions(do_table_structure=True)
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if table_mode:
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pipeline_options.table_structure_options.mode = TableFormerMode.ACCURATE
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else:
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pipeline_options.table_structure_options.mode = TableFormerMode.FAST
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converter = DocumentConverter(
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format_options={
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InputFormat.PDF: PdfFormatOption(pipeline_options=pipeline_options)
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}
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)
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# Handle different input types
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if input_type == "file":
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if file_input is None:
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return None, None, None, None, "Please upload a file"
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source = file_input
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original_name = Path(file_input).name
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elif input_type == "url":
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if not url_input or not is_valid_url(url_input):
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return None, None, None, None, "Please enter a valid URL"
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source = url_input
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original_name = Path(urlparse(url_input).path).name or "url_document"
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else:
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return None, None, None, None, "Invalid input type"
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# Convert document
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logger.debug(f"Converting document: {source}")
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result = converter.convert(source)
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# Get markdown content
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markdown_content = result.document.export_to_markdown()
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# Create output files
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output_files = create_output_files(markdown_content, original_name)
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return (
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output_files['markdown'],
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output_files['json'],
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output_files['docx'],
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markdown_content,
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"Conversion completed successfully! Use the download buttons below to get your files."
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)
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except Exception as e:
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logger.exception("Error occurred during conversion")
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return None, None, None, None, f"Error during conversion: {str(e)}\nCheck the console for detailed error logs."
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# Create title HTML with custom style
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title_html = """
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<div style="text-align: center; max-width: 800px; margin: 0 auto;">
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<h1 style="color: #2C3E50; font-size: 2.5rem; margin-bottom: 0.5rem;">Professional Document Converter</h1>
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<p style="color: #34495E; font-size: 1.1rem; margin-bottom: 1.5rem;">Convert documents from files or URLs to various formats</p>
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</div>
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"""
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# Create Gradio interface with custom theme
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with gr.Blocks(css="footer {display: none}") as demo:
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gr.HTML(title_html)
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with gr.Row():
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with gr.Column(scale=1):
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input_type = gr.Radio(
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choices=["file", "url"],
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value="file",
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label="Input Type"
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)
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# File input with proper file type handling
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file_input = gr.File(
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label="Upload Document",
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file_types=[".pdf", ".PDF"],
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type="filepath"
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)
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# URL input
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url_input = gr.Textbox(
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label="Or Enter URL",
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placeholder="https://arxiv.org/pdf/2408.09869"
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)
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# Processing options
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use_gpu = gr.Checkbox(label="Use GPU", value=True)
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table_mode = gr.Checkbox(label="Use Accurate Table Mode (Slower but better)", value=False)
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convert_btn = gr.Button("Convert Document", variant="primary")
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with gr.Column(scale=2):
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# Status message
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status_message = gr.Markdown("")
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# Preview area
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preview = gr.Markdown("", label="Preview")
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# Download files
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with gr.Group() as download_group:
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gr.Markdown("### Download Files")
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with gr.Row():
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markdown_output = gr.File(label="Download Markdown")
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json_output = gr.File(label="Download JSON")
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docx_output = gr.File(label="Download DOCX")
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# Define the main conversion event
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convert_btn.click(
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fn=process_document,
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inputs=[input_type, file_input, url_input, use_gpu, table_mode],
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outputs=[markdown_output, json_output, docx_output, preview, status_message]
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)
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# Add footer
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footer = """
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<div style="text-align: center; margin: 2rem auto; padding: 1rem; border-top: 1px solid #ddd; max-width: 800px;">
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<div style="margin-bottom: 1rem;">
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<a href="https://www.linkedin.com/in/pejman-ebrahimi-4a60151a7/" target="_blank" style="text-decoration: none; color: #2C3E50; margin: 0 10px;">LinkedIn</a> |
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<a href="https://github.com/arad1367" target="_blank" style="text-decoration: none; color: #2C3E50; margin: 0 10px;">GitHub</a> |
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<a href="https://arad1367.pythonanywhere.com/" target="_blank" style="text-decoration: none; color: #2C3E50; margin: 0 10px;">PhD Defense Demo</a> |
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<a href="https://github.com/DS4SD/docling" target="_blank" style="text-decoration: none; color: #2C3E50; margin: 0 10px;">Docling Project</a>
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</div>
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<p style="color: #7F8C8D; margin-top: 0.5rem;">Made with 💖 by Pejman Ebrahimi</p>
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</div>
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"""
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gr.HTML(footer)
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# Launch the app
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if __name__ == "__main__":
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demo.queue(max_size=5) # Enable queue for better handling of multiple requests
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demo.launch(
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show_error=True,
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share=False,
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debug=True,
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show_api=False,
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server_name="0.0.0.0"
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)
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requirements.txt
ADDED
@@ -0,0 +1,8 @@
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1 |
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docling
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gradio
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--extra-index-url https://download.pytorch.org/whl/cu118
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+
torch
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pytesseract
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python-docx
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7 |
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markdown
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8 |
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requests
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