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
import os
from io import BytesIO
from docx import Document
from PIL import Image

# 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):

        
    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_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_jpeg(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()