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Update app.py
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app.py
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@@ -2,47 +2,60 @@ import gradio as gr
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import tempfile
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import os
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import subprocess
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def process_files(pdf_file, word_file):
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pdf_path = os.path.join(temp_dir, "input.pdf")
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word_path = os.path.join(temp_dir, "input.docx")
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with open(word_path, "wb") as f:
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f.write(word_file.read())
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#
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pdf_txt_path = os.path.join(temp_dir, "pdf_data.txt")
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subprocess.run(
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word_json_path = os.path.join(temp_dir, "word_data.json")
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subprocess.run(
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updated_json_path = os.path.join(temp_dir, "updated_word_data.json")
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subprocess.run(
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"python", "update_docx_with_pdf.py", word_json_path, pdf_txt_path, updated_json_path
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#
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final_docx_path = os.path.join(temp_dir, "updated.docx")
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subprocess.run(
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"python", "updated_word.py", word_path, updated_json_path, final_docx_path
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return final_docx_path
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gr.Interface(
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fn=process_files,
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inputs=[
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gr.File(label="Upload PDF File"),
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gr.File(label="Upload Word File")
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],
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outputs=gr.File(label="Download Updated Word File"),
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title="Red Text Replacer",
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description="Upload a PDF and Word document. Red-colored text in the Word doc will be replaced by matching content from the PDF."
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)
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import tempfile
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import os
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import subprocess
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import uuid
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def process_files(pdf_file, word_file):
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# Each upload returns a path (str) with type="filepath"
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# Create a unique temp directory for each run (prevents parallel collision)
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temp_dir = tempfile.mkdtemp(prefix="hf_redtext_")
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# Copy user-uploaded files into temp directory with standard names
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pdf_path = os.path.join(temp_dir, "input.pdf")
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word_path = os.path.join(temp_dir, "input.docx")
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os.rename(pdf_file, pdf_path)
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os.rename(word_file, word_path)
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# Step 1: Extract PDF data to txt
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pdf_txt_path = os.path.join(temp_dir, "pdf_data.txt")
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subprocess.run(
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["python", "extract_pdf_data.py", pdf_path, pdf_txt_path],
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check=True
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)
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# Step 2: Extract red text from Word to JSON
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word_json_path = os.path.join(temp_dir, "word_data.json")
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subprocess.run(
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["python", "extract_red_text.py", word_path, word_json_path],
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check=True
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)
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# Step 3: Update docx JSON with PDF txt, output updated JSON
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updated_json_path = os.path.join(temp_dir, "updated_word_data.json")
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subprocess.run(
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["python", "update_docx_with_pdf.py", word_json_path, pdf_txt_path, updated_json_path],
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check=True
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)
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# Step 4: Compare word file with updated JSON and update docx
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final_docx_path = os.path.join(temp_dir, "updated.docx")
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subprocess.run(
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["python", "updated_word.py", word_path, updated_json_path, final_docx_path],
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check=True
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)
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# Return final updated docx file
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return final_docx_path
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iface = gr.Interface(
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fn=process_files,
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inputs=[
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gr.File(label="Upload PDF File", type="filepath"),
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gr.File(label="Upload Word File", type="filepath"),
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],
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outputs=gr.File(label="Download Updated Word File"),
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title="Red Text Replacer",
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description="Upload a PDF and Word document. Red-colored text in the Word doc will be replaced by matching content from the PDF."
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)
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if __name__ == "__main__":
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iface.launch()
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