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Update app.py
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app.py
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import gradio as gr
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from PIL import Image, ImageEnhance, ImageFilter
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# ํํฐ ์ ์ฉ ํจ์
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def apply_filter(image, filter_type, intensity):
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image = image.convert("RGB")
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if filter_type == "Soft Glow":
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return image.filter(ImageFilter.GaussianBlur(radius=intensity))
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elif filter_type == "Portrait Enhancer":
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enhancer = ImageEnhance.Color(image)
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return enhancer.enhance(1 + intensity / 10)
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elif filter_type == "Warm Tone":
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r, g, b = image.split()
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r = r.point(lambda i: min(255, i + intensity * 10))
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return Image.merge("RGB", (r, g, b))
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elif filter_type == "Cold Tone":
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r, g, b = image.split()
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b = b.point(lambda i: min(255, i + intensity * 10))
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return Image.merge("RGB", (r, g, b))
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elif filter_type == "High-Key":
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enhancer = ImageEnhance.Brightness(image)
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return enhancer.enhance(1 + intensity / 10)
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elif filter_type == "Low-Key":
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enhancer = ImageEnhance.Brightness(image)
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return enhancer.enhance(1 - intensity / 10)
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elif filter_type == "Haze":
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return image.filter(ImageFilter.BLUR)
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elif filter_type == "Monochrome":
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return image.convert("L").convert("RGB")
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else:
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return image
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# ์ด๊ธฐ๊ฐ ์ค์ ํจ์
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def set_initial_intensity(filter_type):
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# ํํฐ๋ณ ์ด๊ธฐ๊ฐ ์ง์
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initial_values = {
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"Soft Glow": 3,
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"Portrait Enhancer": 2,
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"Warm Tone": 5,
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"Cold Tone": 5,
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"High-Key": 3,
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"Low-Key": 3,
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"Haze": 2,
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"Monochrome": 0
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}
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return initial_values.get(filter_type, 0)
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# Gradio UI ๊ตฌ์ฑ
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with gr.Blocks() as demo:
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gr.Markdown("# ์ธ๋ฌผ ์ฌ์ง ํํฐ ์ ์ฉ๊ธฐ")
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with gr.Row():
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with gr.Column():
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image_input = gr.Image(type="pil", label="์ด๋ฏธ์ง ์
๋ก๋")
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filter_type = gr.Dropdown(
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choices=[
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"Soft Glow", "Portrait Enhancer", "Warm Tone",
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"Cold Tone", "High-Key", "Low-Key", "Haze", "Monochrome"
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],
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value="Soft Glow", # ๊ธฐ๋ณธ๊ฐ ์ค์
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label="ํํฐ ์ ํ"
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)
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intensity = gr.Slider(
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0, 10, value=3, step=1, label="ํํฐ ๊ฐ๋"
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)
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with gr.Column():
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filtered_image = gr.Image(type="pil", label="ํํฐ ์ ์ฉ ์ด๋ฏธ์ง")
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# ํํฐ ์ ์ฉ ๋ฐ ๊ฒฐ๊ณผ ์ฐ๊ฒฐ
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def process_image(image, filter_type, intensity):
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if image is None:
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return None
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filtered_image = apply_filter(image, filter_type, intensity)
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return filtered_image
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def update_intensity_on_filter_change(filter_type):
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return set_initial_intensity(filter_type)
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# UI ์ด๋ฒคํธ ์ฐ๊ฒฐ
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filter_type.change(
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update_intensity_on_filter_change,
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inputs=filter_type,
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outputs=intensity
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)
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image_input.change(
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process_image,
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inputs=[image_input, filter_type, intensity],
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outputs=[filtered_image]
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)
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intensity.change(
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process_image,
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inputs=[image_input, filter_type, intensity],
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outputs=[filtered_image]
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)
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# ์ฑ ์คํ
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if __name__ == "__main__":
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demo.launch()
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