| import os |
| import tempfile |
| import logging |
| from typing import List |
|
|
| import gradio as gr |
| import requests |
| from PIL import Image |
| from pdf2image import convert_from_path, convert_from_bytes |
| from pdf2image.exceptions import PDFInfoNotInstalledError, PDFPageCountError |
|
|
| logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s") |
| logger = logging.getLogger(__name__) |
|
|
| def stitch_images_vertically(images: List[Image.Image]) -> Image.Image: |
| if not images: |
| return None |
|
|
| max_width = max(img.width for img in images) |
| total_height = sum(img.height for img in images) |
|
|
| stitched_image = Image.new('RGB', (max_width, total_height), (255, 255, 255)) |
|
|
| current_y = 0 |
| for img in images: |
| stitched_image.paste(img, (0, current_y)) |
| current_y += img.height |
| |
| return stitched_image |
|
|
| def process_pdf(pdf_file, pdf_url, progress=gr.Progress()): |
| pdf_input_source = None |
| is_bytes = False |
| source_name = "document" |
|
|
| progress(0, desc="Validating input...") |
| if pdf_file is not None: |
| logger.info(f"Processing uploaded file: {pdf_file.name}") |
| pdf_input_source = pdf_file.name |
| source_name = os.path.splitext(os.path.basename(pdf_file.name))[0] |
| elif pdf_url and pdf_url.strip(): |
| url = pdf_url.strip() |
| logger.info(f"Processing file from URL: {url}") |
| progress(0.1, desc="Downloading PDF from URL...") |
| try: |
| response = requests.get(url, timeout=45) |
| response.raise_for_status() |
| pdf_input_source = response.content |
| source_name = os.path.splitext(os.path.basename(url.split('?')[0]))[0] |
| is_bytes = True |
| except requests.RequestException as e: |
| raise gr.Error(f"Failed to download PDF from URL. Error: {e}") |
| else: |
| raise gr.Error("Please upload a PDF file or provide a valid URL.") |
|
|
| progress(0.3, desc="Converting PDF pages to images...") |
| try: |
| if is_bytes: |
| images = convert_from_bytes(pdf_input_source, dpi=200) |
| else: |
| images = convert_from_path(pdf_input_source, dpi=200) |
| except (PDFInfoNotInstalledError, FileNotFoundError): |
| raise gr.Error("Server configuration error: Poppler dependency is missing.") |
| except (PDFPageCountError, Exception) as e: |
| raise gr.Error(f"Failed to process the PDF. It might be corrupted or password-protected. Error: {e}") |
|
|
| if not images: |
| raise gr.Error("Could not extract any pages from the PDF. The file might be empty or invalid.") |
| |
| logger.info(f"Successfully converted {len(images)} pages to images.") |
|
|
| progress(0.7, desc=f"Stitching {len(images)} images together...") |
| |
| stitched_image = stitch_images_vertically(images) |
| if stitched_image is None: |
| raise gr.Error("Image stitching failed.") |
| |
| logger.info("Image stitching complete.") |
|
|
| progress(0.9, desc="Saving final image...") |
| |
| with tempfile.NamedTemporaryFile(delete=False, suffix=".png", prefix=f"{source_name}_stitched_") as tmp_file: |
| stitched_image.save(tmp_file.name, "PNG") |
| output_path = tmp_file.name |
| |
| logger.info(f"Final image saved to temporary path: {output_path}") |
| progress(1, desc="Done!") |
| |
| return output_path, output_path |
|
|
| with gr.Blocks(theme=gr.themes.Soft()) as demo: |
| gr.Markdown( |
| """ |
| # PDF Page Stitcher 📄 ➡️ 🖼️ |
| Upload a PDF file or provide a URL. This tool will convert every page of the PDF into an image |
| and then append them beneath each other to create a single, tall image that you can download. |
| """ |
| ) |
|
|
| with gr.Row(): |
| with gr.Column(scale=1): |
| with gr.Tabs(): |
| with gr.TabItem("Upload PDF"): |
| pdf_file_input = gr.File(label="Upload PDF File", file_types=[".pdf"]) |
| with gr.TabItem("From URL"): |
| pdf_url_input = gr.Textbox( |
| label="PDF URL", |
| placeholder="e.g., https://arxiv.org/pdf/1706.03762.pdf" |
| ) |
| |
| submit_btn = gr.Button("Stitch PDF Pages", variant="primary") |
|
|
| with gr.Column(scale=2): |
| gr.Markdown("## Output") |
| output_image_preview = gr.Image( |
| label="Stitched Image Preview", |
| type="filepath", |
| interactive=False, |
| height=600, |
| ) |
| output_image_download = gr.File( |
| label="Download Stitched Image", |
| interactive=False |
| ) |
|
|
| submit_btn.click( |
| fn=process_pdf, |
| inputs=[pdf_file_input, pdf_url_input], |
| outputs=[output_image_preview, output_image_download] |
| ) |
|
|
| demo.launch(server_name="0.0.0.0", server_port=7860, debug=True) |