Upload app.py

app.py

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+import os
+import sys
+from PIL import Image, ImageOps, ImageChops
+import io
+import fitz  # PyMuPDF
+from docx import Document
+from rembg import remove
+import gradio as gr
+
+def create_output_folder(file_path):
+    base_name = os.path.splitext(os.path.basename(file_path))[0]
+    output_folder = os.path.join(os.path.dirname(file_path), base_name)
+    if not os.path.exists(output_folder):
+        os.makedirs(output_folder)
+    return output_folder
+
+def convert_image_to_jpeg(input_path, output_folder):
+    image = Image.open(input_path)
+    image = image.convert('RGB')
+    output_path = os.path.join(output_folder, f"{os.path.splitext(os.path.basename(input_path))[0]}.jpg")
+    image.save(output_path, 'JPEG')
+    return output_path
+
+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, output_folder, zoom=2):
+    pdf_document = fitz.open(pdf_path)
+    name_with_extension = os.path.basename(pdf_path)
+    name = os.path.splitext(name_with_extension)[0]
+    
+    output_paths = []
+    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)
+        output_path = os.path.join(output_folder, f"{name}_page_{page_num + 1}.jpg")
+        trimmed_image.save(output_path, 'JPEG')
+        output_paths.append(output_path)
+    return output_paths
+
+def convert_docx_to_jpeg(docx_path, output_folder):
+    document = Document(docx_path)
+    output_paths = []
+    for i, image_shape in enumerate(document.inline_shapes, start=1):
+        image_stream = image_shape.image.blob
+        image = Image.open(io.BytesIO(image_stream))
+        output_path = os.path.join(output_folder, f"{os.path.splitext(os.path.basename(docx_path))[0]}_page_{i}.jpg")
+        image.save(output_path, 'JPEG')
+        output_paths.append(output_path)
+    return output_paths
+
+def process_file(input_file):
+    file_extension = os.path.splitext(input_file.name)[1].lower()
+    output_folder = create_output_folder(input_file.name)
+
+    if file_extension in ['.png', '.jpeg', '.jpg', '.bmp', '.gif']:
+        output_path = convert_image_to_jpeg(input_file.name, output_folder)
+        return remove_background(output_path)
+    elif file_extension == '.pdf':
+        image_paths = convert_pdf_to_images(input_file.name, output_folder)
+        return [remove_background(path) for path in image_paths]
+    elif file_extension in ['.docx', '.doc']:
+        image_paths = convert_docx_to_jpeg(input_file.name, output_folder)
+        return [remove_background(path) for path in image_paths]
+    else:
+        return "File format not supported."
+
+def remove_background(image_path):
+    input_image = Image.open(image_path)
+    output_image = remove(input_image)
+    output_path = image_path.replace('.jpg', '_no_bg.png')
+    output_image.save(output_path, 'PNG')
+    return output_path
+
+def gradio_interface(input_file):
+    return process_file(input_file)
+
+iface = gr.Interface(
+    fn=gradio_interface,
+    inputs=gr.inputs.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()