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import os
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import sys
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from PIL import Image, ImageOps, ImageChops
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import io
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import fitz
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from docx import Document
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from rembg import remove
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import gradio as gr
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def create_output_folder(file_path):
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base_name = os.path.splitext(os.path.basename(file_path))[0]
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output_folder = os.path.join(os.path.dirname(file_path), base_name)
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if not os.path.exists(output_folder):
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os.makedirs(output_folder)
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return output_folder
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def convert_image_to_jpeg(input_path, output_folder):
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image = Image.open(input_path)
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image = image.convert('RGB')
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output_path = os.path.join(output_folder, f"{os.path.splitext(os.path.basename(input_path))[0]}.jpg")
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image.save(output_path, 'JPEG')
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return output_path
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def trim_whitespace(image):
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gray_image = ImageOps.grayscale(image)
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inverted_image = ImageChops.invert(gray_image)
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bbox = inverted_image.getbbox()
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trimmed_image = image.crop(bbox)
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return trimmed_image
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def convert_pdf_to_images(pdf_path, output_folder, zoom=2):
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pdf_document = fitz.open(pdf_path)
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name_with_extension = os.path.basename(pdf_path)
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name = os.path.splitext(name_with_extension)[0]
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output_paths = []
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for page_num in range(len(pdf_document)):
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page = pdf_document.load_page(page_num)
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matrix = fitz.Matrix(zoom, zoom)
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pix = page.get_pixmap(matrix=matrix)
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image = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
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trimmed_image = trim_whitespace(image)
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output_path = os.path.join(output_folder, f"{name}_page_{page_num + 1}.jpg")
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trimmed_image.save(output_path, 'JPEG')
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output_paths.append(output_path)
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return output_paths
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def convert_docx_to_jpeg(docx_path, output_folder):
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document = Document(docx_path)
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output_paths = []
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for i, image_shape in enumerate(document.inline_shapes, start=1):
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image_stream = image_shape.image.blob
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image = Image.open(io.BytesIO(image_stream))
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output_path = os.path.join(output_folder, f"{os.path.splitext(os.path.basename(docx_path))[0]}_page_{i}.jpg")
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image.save(output_path, 'JPEG')
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output_paths.append(output_path)
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return output_paths
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def process_file(input_file):
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file_extension = os.path.splitext(input_file.name)[1].lower()
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output_folder = create_output_folder(input_file.name)
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if file_extension in ['.png', '.jpeg', '.jpg', '.bmp', '.gif']:
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output_path = convert_image_to_jpeg(input_file.name, output_folder)
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return remove_background(output_path)
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elif file_extension == '.pdf':
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image_paths = convert_pdf_to_images(input_file.name, output_folder)
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return [remove_background(path) for path in image_paths]
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elif file_extension in ['.docx', '.doc']:
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image_paths = convert_docx_to_jpeg(input_file.name, output_folder)
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return [remove_background(path) for path in image_paths]
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else:
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return "File format not supported."
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def remove_background(image_path):
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input_image = Image.open(image_path)
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output_image = remove(input_image)
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output_path = image_path.replace('.jpg', '_no_bg.png')
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output_image.save(output_path, 'PNG')
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return output_path
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def gradio_interface(input_file):
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return process_file(input_file)
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iface = gr.Interface(
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fn=gradio_interface,
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inputs=gr.inputs.File(label="Upload Word, PDF, or Image"),
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outputs=gr.outputs.Image(type="file", label="Processed Image(s)"),
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title="Document to Image Converter with Background Removal"
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)
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if __name__ == "__main__":
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iface.launch() |
