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Create app.py
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app.py
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import fitz # PyMuPDF
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import gradio as gr
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from PIL import Image, ImageEnhance, ImageFilter
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import io
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# Step 1: Convert PDF to high-quality image
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def pdf_to_image(pdf_file, dpi=600):
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try:
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print(f"Opening PDF: {pdf_file.name}")
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pdf_document = fitz.open(pdf_file.name)
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page = pdf_document.load_page(0) # Load the first page
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# Render the page at high DPI
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zoom = dpi / 72 # Scale factor based on DPI
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mat = fitz.Matrix(zoom, zoom)
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pix = page.get_pixmap(matrix=mat, alpha=False)
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# Convert pixmap to image
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image_bytes = io.BytesIO(pix.tobytes("png"))
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img = Image.open(image_bytes)
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return img
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except Exception as e:
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print(f"Error during PDF conversion: {str(e)}")
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return None
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# Helper: Convert inches to pixels
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def inches_to_pixels(inches, dpi=600):
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return int(inches * dpi)
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# Step 2: Adjust image dimensions and brightness
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def adjust_image(pdf_file, height_in, width_in, brightness):
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img = pdf_to_image(pdf_file)
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if img is None:
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return "Unable to convert PDF to image."
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try:
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# Convert dimensions from inches to pixels
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height_px = inches_to_pixels(height_in)
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width_px = inches_to_pixels(width_in)
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# Resize with high-quality resampling
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img_resized = img.resize((width_px, height_px), Image.LANCZOS)
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# Apply anti-aliasing filter for smooth edges
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img_smoothed = img_resized.filter(ImageFilter.SMOOTH)
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# Adjust brightness
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enhancer = ImageEnhance.Brightness(img_smoothed)
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img_bright = enhancer.enhance(brightness)
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return img_bright
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except Exception as e:
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print(f"Error during image adjustment: {str(e)}")
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return "Error adjusting the image."
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# Gradio Interface
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iface = gr.Interface(
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fn=adjust_image,
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inputs=[
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gr.File(label="Upload PDF"),
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gr.Number(label="Height (inches)", value=5.0),
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gr.Number(label="Width (inches)", value=4.0),
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gr.Slider(minimum=0.5, maximum=2, step=0.1, value=1.0, label="Brightness"),
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],
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outputs="image",
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title="Plate Design Creation - Convert & Adjust PDF Page",
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description="Upload a PDF containing a technical diagram or nameplate. Adjust the dimensions and brightness for optimal clarity."
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)
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# Launch the interface
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iface.launch()
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