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import os
from PIL import Image, ImageOps, ImageChops
import io
import fitz # PyMuPDF
from docx import Document
from rembg import remove
import gradio as gr
def trim_whitespace(image):
gray_image = ImageOps.grayscale(image)
inverted_image = ImageChops.invert(gray_image)
bbox = inverted_image.getbbox()
trimmed_image = image.crop(bbox)
return trimmed_image
def convert_pdf_to_images(pdf_path, zoom=2):
pdf_document = fitz.open(pdf_path)
images = []
for page_num in range(len(pdf_document)):
page = pdf_document.load_page(page_num)
matrix = fitz.Matrix(zoom, zoom)
pix = page.get_pixmap(matrix=matrix)
image = Image.frombytes("RGB", [pix.width, pix.height], pix.samples)
trimmed_image = trim_whitespace(image)
images.append(trimmed_image)
return images
def convert_docx_to_images(docx_path):
document = Document(docx_path)
images = []
for image_shape in document.inline_shapes:
image_stream = image_shape.image.blob
image = Image.open(io.BytesIO(image_stream))
images.append(image)
return images
def remove_background_from_image(image):
return remove(image)
def process_file(input_file):
file_extension = os.path.splitext(input_file.name)[1].lower()
if file_extension in ['.png', '.jpeg', '.jpg', '.bmp', '.gif']:
image = Image.open(input_file)
image = image.convert('RGB')
output_image = remove_background_from_image(image)
return output_image
elif file_extension == '.pdf':
images = convert_pdf_to_images(input_file.name)
return [remove_background_from_image(image) for image in images]
elif file_extension in ['.docx', '.doc']:
images = convert_docx_to_images(input_file.name)
return [remove_background_from_image(image) for image in images]
else:
return "File format not supported."
def gradio_interface(input_file):
return process_file(input_file)
iface = gr.Interface(
fn=gradio_interface,
inputs=gr.File(label="Upload Word, PDF, or Image"),
outputs=gr.outputs.Image(type="file", label="Processed Image(s)"),
title="Document to Image Converter with Background Removal"
)
if __name__ == "__main__":
iface.launch() |