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Create app.py
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app.py
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import gradio as gr
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from PIL import Image
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import os
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import numpy as np
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import cv2
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import time
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# Directory to store the PDF files
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output_directory = "base"
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os.makedirs(output_directory, exist_ok=True)
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# Initialize an empty list to store the uploaded images as NumPy arrays
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images_list = []
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# Function to add an uploaded image (NumPy array) to the list
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def add_image(image):
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print(image) # Display the image array
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global images_list
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images_list.append(image)
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return f"Image added! Current number of images: {len(images_list)}"
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# Function to convert NumPy array to PIL Image
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def numpy_to_pil(np_img):
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if np_img.ndim == 2: # Grayscale
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return Image.fromarray(np_img)
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elif np_img.shape[2] == 3: # RGB
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return Image.fromarray(cv2.cvtColor(np_img, cv2.COLOR_BGR2RGB))
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elif np_img.shape[2] == 4: # RGBA
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return Image.fromarray(cv2.cvtColor(np_img, cv2.COLOR_BGRA2RGBA))
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else:
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raise ValueError("Unsupported image format")
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# Function to merge images into a PDF and save it
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def merge_images_to_pdf():
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if not images_list:
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return "No images to merge!"
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# Convert NumPy arrays to PIL Images
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image_objs = [numpy_to_pil(img) for img in images_list]
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# Save the images as a PDF
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pdf_output_path = os.path.join(output_directory, str(time.ctime())+'.pdf')
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image_objs[0].save(pdf_output_path, save_all=True, append_images=image_objs[1:])
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# Clear the images list after saving the PDF
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images_list.clear()
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return f"PDF saved successfully at {pdf_output_path}!"
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# Create the Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown("### Image to PDF Converter")
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# Image upload component (uses webcam or upload)
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image_input = gr.Image(source="webcam", streaming=True, type="numpy")
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# Button to add the image to the list
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add_button = gr.Button("Add Image")
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# Button to merge the images into a PDF
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merge_button = gr.Button("Merge Images to PDF")
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# Output text to display status
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output_text = gr.Textbox(label="Status")
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# Event handling
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add_button.click(add_image, inputs=image_input, outputs=output_text)
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merge_button.click(merge_images_to_pdf, outputs=output_text)
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# Launch the Gradio app
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demo.launch()
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