Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,3 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
import numpy as np
|
| 3 |
import tempfile
|
|
@@ -17,15 +21,18 @@ def apply_enhancements(image, contrast, sharpness, brightness, saturation, upsca
|
|
| 17 |
|
| 18 |
enhanced = original.copy()
|
| 19 |
|
|
|
|
| 20 |
if upscale != 1.0:
|
| 21 |
w, h = enhanced.size
|
| 22 |
enhanced = enhanced.resize((int(w * upscale), int(h * upscale)), Image.LANCZOS)
|
| 23 |
|
|
|
|
| 24 |
enhanced = ImageEnhance.Contrast(enhanced).enhance(contrast)
|
| 25 |
enhanced = ImageEnhance.Brightness(enhanced).enhance(brightness)
|
| 26 |
enhanced = ImageEnhance.Color(enhanced).enhance(saturation)
|
| 27 |
enhanced = ImageEnhance.Sharpness(enhanced).enhance(sharpness)
|
| 28 |
|
|
|
|
| 29 |
if blur_radius > 0:
|
| 30 |
enhanced = enhanced.filter(ImageFilter.GaussianBlur(radius=blur_radius))
|
| 31 |
|
|
@@ -48,28 +55,33 @@ def save_enhanced(image, contrast, sharpness, brightness, saturation, upscale, b
|
|
| 48 |
|
| 49 |
|
| 50 |
with gr.Blocks(title="Image Enhancement Lab") as demo:
|
| 51 |
-
gr.Markdown("# Image Enhancement Lab")
|
| 52 |
-
gr.Markdown("Upload an image and adjust sliders.")
|
| 53 |
|
| 54 |
with gr.Row():
|
| 55 |
-
with gr.Column():
|
| 56 |
-
image_input = gr.Image(type="numpy")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 57 |
|
| 58 |
-
|
| 59 |
-
|
| 60 |
-
saturation = gr.Slider(0.0, 3.0, 1.0)
|
| 61 |
-
sharpness = gr.Slider(0.0, 5.0, 1.0)
|
| 62 |
-
upscale = gr.Slider(0.25, 4.0, 1.0)
|
| 63 |
-
blur = gr.Slider(0.0, 10.0, 0.0)
|
| 64 |
|
| 65 |
-
apply_btn = gr.Button("Apply")
|
| 66 |
-
save_btn = gr.Button("Download")
|
| 67 |
|
| 68 |
-
download = gr.File(visible=True)
|
| 69 |
|
| 70 |
-
with gr.Column():
|
| 71 |
-
original_out = gr.Image()
|
| 72 |
-
enhanced_out = gr.Image()
|
| 73 |
|
| 74 |
inputs = [image_input, contrast, sharpness, brightness, saturation, upscale, blur]
|
| 75 |
|
|
@@ -77,6 +89,6 @@ with gr.Blocks(title="Image Enhancement Lab") as demo:
|
|
| 77 |
save_btn.click(save_enhanced, inputs, download)
|
| 78 |
|
| 79 |
|
| 80 |
-
#
|
| 81 |
demo.queue()
|
| 82 |
demo.launch()
|
|
|
|
| 1 |
+
"""
|
| 2 |
+
Image Enhancement Lab β Gradio (Spaces-ready, labeled sliders)
|
| 3 |
+
"""
|
| 4 |
+
|
| 5 |
import gradio as gr
|
| 6 |
import numpy as np
|
| 7 |
import tempfile
|
|
|
|
| 21 |
|
| 22 |
enhanced = original.copy()
|
| 23 |
|
| 24 |
+
# Upscale
|
| 25 |
if upscale != 1.0:
|
| 26 |
w, h = enhanced.size
|
| 27 |
enhanced = enhanced.resize((int(w * upscale), int(h * upscale)), Image.LANCZOS)
|
| 28 |
|
| 29 |
+
# Enhancements
|
| 30 |
enhanced = ImageEnhance.Contrast(enhanced).enhance(contrast)
|
| 31 |
enhanced = ImageEnhance.Brightness(enhanced).enhance(brightness)
|
| 32 |
enhanced = ImageEnhance.Color(enhanced).enhance(saturation)
|
| 33 |
enhanced = ImageEnhance.Sharpness(enhanced).enhance(sharpness)
|
| 34 |
|
| 35 |
+
# Blur
|
| 36 |
if blur_radius > 0:
|
| 37 |
enhanced = enhanced.filter(ImageFilter.GaussianBlur(radius=blur_radius))
|
| 38 |
|
|
|
|
| 55 |
|
| 56 |
|
| 57 |
with gr.Blocks(title="Image Enhancement Lab") as demo:
|
| 58 |
+
gr.Markdown("# πΌοΈ Image Enhancement Lab")
|
| 59 |
+
gr.Markdown("Upload an image and adjust sliders to enhance it.")
|
| 60 |
|
| 61 |
with gr.Row():
|
| 62 |
+
with gr.Column(scale=1):
|
| 63 |
+
image_input = gr.Image(label="Upload Image", type="numpy")
|
| 64 |
+
|
| 65 |
+
gr.Markdown("### π¨ Color Adjustments")
|
| 66 |
+
contrast = gr.Slider(0.1, 3.0, 1.0, label="Contrast (1.0 = original)")
|
| 67 |
+
brightness = gr.Slider(0.1, 3.0, 1.0, label="Brightness (1.0 = original)")
|
| 68 |
+
saturation = gr.Slider(0.0, 3.0, 1.0, label="Saturation (0 = grayscale)")
|
| 69 |
+
|
| 70 |
+
gr.Markdown("### π Detail Controls")
|
| 71 |
+
sharpness = gr.Slider(0.0, 5.0, 1.0, label="Sharpness (0 = blurry)")
|
| 72 |
+
blur = gr.Slider(0.0, 10.0, 0.0, label="Gaussian Blur Radius")
|
| 73 |
|
| 74 |
+
gr.Markdown("### π Size Control")
|
| 75 |
+
upscale = gr.Slider(0.25, 4.0, 1.0, label="Upscale Factor")
|
|
|
|
|
|
|
|
|
|
|
|
|
| 76 |
|
| 77 |
+
apply_btn = gr.Button("Apply Enhancements")
|
| 78 |
+
save_btn = gr.Button("Download Enhanced Image")
|
| 79 |
|
| 80 |
+
download = gr.File(label="Download File", visible=True)
|
| 81 |
|
| 82 |
+
with gr.Column(scale=2):
|
| 83 |
+
original_out = gr.Image(label="Original Image")
|
| 84 |
+
enhanced_out = gr.Image(label="Enhanced Image")
|
| 85 |
|
| 86 |
inputs = [image_input, contrast, sharpness, brightness, saturation, upscale, blur]
|
| 87 |
|
|
|
|
| 89 |
save_btn.click(save_enhanced, inputs, download)
|
| 90 |
|
| 91 |
|
| 92 |
+
# Required for Hugging Face Spaces
|
| 93 |
demo.queue()
|
| 94 |
demo.launch()
|