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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
import os
# ایجاد دایرکتوری static
os.makedirs("static", exist_ok=True)
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):
try:
pdf_document = fitz.open(pdf_path)
name_with_extension = os.path.basename(pdf_path)
name = os.path.splitext(name_with_extension)[0]
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
import os
from io import BytesIO
from docx import Document
from PIL import Image
def convert_docx_to_jpeg(docx_bytes):
"""
Convert each image in a DOCX file to a separate JPEG image and return them as a list.
Args:
- docx_bytes: The binary content of the DOCX file.
Returns:
- A list of PIL Image objects in JPEG format.
"""
document = Document(BytesIO(docx_bytes))
images = []
for rel in document.part.rels.values():
if "image" in rel.target_ref:
image_stream = rel.target_part.blob
image = Image.open(BytesIO(image_stream))
jpeg_image = BytesIO()
image.convert('RGB').save(jpeg_image, format="JPEG")
jpeg_image.seek(0)
images.append(Image.open(jpeg_image))
return images
# Example usage:
# with open("example.docx", "rb") as f:
# docx_bytes = f.read()
# images = convert_docx_to_jpeg(docx_bytes)
# for img in images:
# img.show()
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.Image(type="pil", label="Processed Image(s)"),
title="Document to Image Converter with Background Removal"
)
if __name__ == "__main__":
iface.launch() |