app.py

import cv2
import numpy as np
from PIL import Image
Image.MAX_IMAGE_PIXELS = None
import gradio as gr
        
def freemium_watermark(img, sb_logo):
    width_px, height_px = img.size
    # Convert the logo to "RGBA" mode and resize it to 80% of the image width
    sb_logo = sb_logo.convert("RGBA")
    new_logo_width = int(width_px * 0.8)  # 80% of the image width
    logo_ratio = new_logo_width / sb_logo.width
    new_logo_height = int(sb_logo.height * logo_ratio)
    sb_logo = sb_logo.resize((new_logo_width, new_logo_height))
    # Make the logo semi-translucent
    transparent_img = Image.new('RGBA', (sb_logo.width, sb_logo.height), (0, 0, 0, 0))  # Create a transparent image of the same size
    sb_logo = Image.blend(transparent_img, sb_logo, alpha=0.3)  # Blend the logo with the transparent image
    # Calculate the position to paste the logo at the center of the image
    paste_x_position = (width_px - new_logo_width) // 2
    paste_y_position = (height_px - new_logo_height) // 2
    img.paste(sb_logo, (paste_x_position, paste_y_position), sb_logo)
    # Save the image
    return img

sb_logo = Image.open("./SB_logo_horizontal.png")

with gr.Blocks() as demo:
    with gr.Row():
        with gr.Column():
            input = gr.Image(type="pil", label="Upload Image", sources=["upload"])
        with gr.Column():
            image = gr.Image(label="Sketch Drawing", show_share_button=False)
    examples = gr.Examples(examples=["road_small.jpg", "preview_small.jpg", "trailer.jpg"], inputs=[input], cache_examples=True)
    @gr.on(inputs=[input], outputs=[image], show_progress="minimal")
    def sketch(input_path):   
        if input_path is None:
            return None
        # with Image.open(input_path) as img:
        #     img_array = np.array(img)
        img_array = np.array(input_path)
        # Line processing
        blurred = cv2.GaussianBlur(img_array, (7, 7), 0)
        edges = cv2.Canny(blurred, 100, 180)
        structuring_element = cv2.getStructuringElement(cv2.MORPH_RECT, (4,3))
        dilated_edges = cv2.dilate(edges, structuring_element, iterations=1)
        line_drawing = 255 - dilated_edges
        line_img = Image.fromarray(line_drawing)
        return freemium_watermark(line_img, sb_logo)

demo.launch()