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Update app.py
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app.py
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@@ -1,7 +1,6 @@
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import os
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import tempfile
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import logging
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import subprocess
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from typing import List
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import gradio as gr
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@@ -10,55 +9,18 @@ from PIL import Image
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from pdf2image import convert_from_path, convert_from_bytes
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from pdf2image.exceptions import PDFInfoNotInstalledError, PDFPageCountError
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# --- Logging Configuration ---
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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logger = logging.getLogger(__name__)
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def check_poppler():
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"""
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Checks if the Poppler PDF rendering utility is installed and accessible.
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"""
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try:
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# Run a simple poppler command to check for its existence and version
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result = subprocess.run(["pdftoppm", "-v"], capture_output=True, text=True, check=False)
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if result.returncode == 0 or "pdftoppm version" in result.stderr:
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logger.info("Poppler check successful.")
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return True
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else:
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logger.error(f"Poppler check failed. stderr: {result.stderr.strip()}")
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return False
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except FileNotFoundError:
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logger.error("Poppler (pdftoppm command) not found. Ensure poppler-utils is installed and in the system's PATH.")
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return False
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except Exception as e:
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logger.error(f"An unexpected error occurred during Poppler check: {e}")
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return False
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def stitch_images_vertically(images: List[Image.Image]) -> Image.Image:
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"""
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Stitches a list of PIL Images together vertically.
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Args:
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images: A list of PIL Image objects.
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Returns:
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A single PIL Image object containing all input images stitched together.
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"""
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if not images:
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return None
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# Find the maximum width among all images to use as the canvas width
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max_width = max(img.width for img in images)
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# Calculate the total height by summing the height of all images
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total_height = sum(img.height for img in images)
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# Create a new blank image (canvas) with a white background
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stitched_image = Image.new('RGB', (max_width, total_height), (255, 255, 255))
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# Paste each image onto the canvas, one below the other
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current_y = 0
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for img in images:
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stitched_image.paste(img, (0, current_y))
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@@ -66,28 +28,20 @@ def stitch_images_vertically(images: List[Image.Image]) -> Image.Image:
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return stitched_image
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def process_pdf(pdf_file, pdf_url, progress=gr.Progress()):
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"""
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The main processing function for the Gradio interface.
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It takes a PDF (either as an uploaded file or a URL), converts all its
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pages to images, and stitches them into a single tall image.
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"""
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pdf_input_source = None
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is_bytes = False
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source_name = "document"
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# --- 1. Determine Input Source ---
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progress(0, desc="Validating input...")
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if pdf_file is not None:
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logger.info(f"Processing uploaded file: {pdf_file.name}")
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pdf_input_source = pdf_file.name
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source_name = os.path.splitext(os.path.basename(pdf_file.name))[0]
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is_bytes = False
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elif pdf_url and pdf_url.strip():
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url = pdf_url.strip()
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logger.info(f"Processing file from URL: {url}")
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progress(0.1, desc=
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try:
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response = requests.get(url, timeout=45)
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response.raise_for_status()
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else:
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raise gr.Error("Please upload a PDF file or provide a valid URL.")
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# --- 2. Convert PDF to a List of Images ---
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progress(0.3, desc="Converting PDF pages to images...")
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try:
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if is_bytes:
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else:
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images = convert_from_path(pdf_input_source, dpi=200)
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except (PDFInfoNotInstalledError, FileNotFoundError):
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raise gr.Error("
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except (PDFPageCountError, Exception) as e:
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raise gr.Error(f"Failed to process the PDF. It might be corrupted or password-protected. Error: {e}")
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logger.info(f"Successfully converted {len(images)} pages to images.")
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# --- 3. Stitch the Images Together ---
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progress(0.7, desc=f"Stitching {len(images)} images together...")
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stitched_image = stitch_images_vertically(images)
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logger.info("Image stitching complete.")
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# --- 4. Save the Final Image to a Temporary File ---
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progress(0.9, desc="Saving final image...")
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# Use a named temporary file that Gradio can serve
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with tempfile.NamedTemporaryFile(delete=False, suffix=".png", prefix=f"{source_name}_stitched_") as tmp_file:
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stitched_image.save(tmp_file.name, "PNG")
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output_path = tmp_file.name
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logger.info(f"Final image saved to temporary path: {output_path}")
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progress(1, desc="Done!")
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# --- 5. Return the path for the Gradio output components ---
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# The first path is for the gr.Image preview, the second for the gr.File download.
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return output_path, output_path
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# --- Gradio Interface Definition ---
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown(
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"""
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label="Stitched Image Preview",
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type="filepath",
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interactive=False,
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height=600,
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)
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output_image_download = gr.File(
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label="Download Stitched Image",
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interactive=False
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)
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# Connect the button click event to the processing function
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submit_btn.click(
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fn=process_pdf,
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inputs=[pdf_file_input, pdf_url_input],
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gr.Examples(
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examples=[
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[None, "https://arxiv.org/pdf/1706.03762.pdf"],
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[None, "https://bitcoin.org/bitcoin.pdf"],
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],
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inputs=[pdf_file_input, pdf_url_input],
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outputs=[output_image_preview, output_image_download],
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fn=process_pdf,
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cache_examples=
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)
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# --- Main Execution ---
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if __name__ == '__main__':
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# Perform a check for Poppler when the script starts
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if not check_poppler():
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logger.warning(
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"Poppler utilities could not be verified. The application may fail to process PDFs."
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)
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# Launch the Gradio application
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demo.launch(server_name="0.0.0.0", server_port=7860)
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import os
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import tempfile
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import logging
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from typing import List
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import gradio as gr
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from pdf2image import convert_from_path, convert_from_bytes
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from pdf2image.exceptions import PDFInfoNotInstalledError, PDFPageCountError
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logging.basicConfig(level=logging.INFO, format="%(asctime)s - %(levelname)s - %(message)s")
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logger = logging.getLogger(__name__)
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def stitch_images_vertically(images: List[Image.Image]) -> Image.Image:
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if not images:
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return None
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max_width = max(img.width for img in images)
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total_height = sum(img.height for img in images)
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stitched_image = Image.new('RGB', (max_width, total_height), (255, 255, 255))
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current_y = 0
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for img in images:
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stitched_image.paste(img, (0, current_y))
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return stitched_image
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def process_pdf(pdf_file, pdf_url, progress=gr.Progress()):
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pdf_input_source = None
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is_bytes = False
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source_name = "document"
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progress(0, desc="Validating input...")
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if pdf_file is not None:
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logger.info(f"Processing uploaded file: {pdf_file.name}")
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pdf_input_source = pdf_file.name
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source_name = os.path.splitext(os.path.basename(pdf_file.name))[0]
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elif pdf_url and pdf_url.strip():
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url = pdf_url.strip()
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logger.info(f"Processing file from URL: {url}")
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progress(0.1, desc="Downloading PDF from URL...")
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try:
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response = requests.get(url, timeout=45)
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response.raise_for_status()
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else:
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raise gr.Error("Please upload a PDF file or provide a valid URL.")
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progress(0.3, desc="Converting PDF pages to images...")
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try:
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if is_bytes:
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else:
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images = convert_from_path(pdf_input_source, dpi=200)
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except (PDFInfoNotInstalledError, FileNotFoundError):
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raise gr.Error("Server configuration error: Poppler dependency is missing.")
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except (PDFPageCountError, Exception) as e:
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raise gr.Error(f"Failed to process the PDF. It might be corrupted or password-protected. Error: {e}")
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logger.info(f"Successfully converted {len(images)} pages to images.")
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progress(0.7, desc=f"Stitching {len(images)} images together...")
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stitched_image = stitch_images_vertically(images)
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logger.info("Image stitching complete.")
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progress(0.9, desc="Saving final image...")
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with tempfile.NamedTemporaryFile(delete=False, suffix=".png", prefix=f"{source_name}_stitched_") as tmp_file:
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stitched_image.save(tmp_file.name, "PNG")
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output_path = tmp_file.name
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logger.info(f"Final image saved to temporary path: {output_path}")
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progress(1, desc="Done!")
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return output_path, output_path
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with gr.Blocks(theme=gr.themes.Soft()) as demo:
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gr.Markdown(
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"""
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label="Stitched Image Preview",
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type="filepath",
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interactive=False,
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height=600,
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)
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output_image_download = gr.File(
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label="Download Stitched Image",
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interactive=False
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)
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submit_btn.click(
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fn=process_pdf,
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inputs=[pdf_file_input, pdf_url_input],
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gr.Examples(
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examples=[
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[None, "https://arxiv.org/pdf/1706.03762.pdf"],
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[None, "https://bitcoin.org/bitcoin.pdf"],
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],
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inputs=[pdf_file_input, pdf_url_input],
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outputs=[output_image_preview, output_image_download],
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fn=process_pdf,
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cache_examples=True
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)
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demo.launch()
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