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# -*- coding: utf-8 -*-
"""app code for remove.ipynb
Automatically generated by Colab.
Original file is located at
https://colab.research.google.com/drive/1GoN403JoCKCLavITeCYoMzFXKctQ83en
"""
import gradio as gr
from PIL import Image
import numpy as np
def sanitize_hex_color(color):
"""
Sanitize and validate hex color input.
"""
if color.startswith('rgb'):
rgb_vals = color.strip('rgb()').split(',')
if len(rgb_vals) == 3:
try:
r, g, b = map(int, rgb_vals)
return f'#{r:02x}{g:02x}{b:02x}'.upper()
except ValueError:
raise ValueError("Invalid RGB color format")
color = color.strip().upper()
color = color.lstrip('#')
if len(color) != 6:
raise ValueError("Invalid hex color. Use '#RRGGBB' format")
try:
int(color, 16)
except ValueError:
raise ValueError("Invalid hexadecimal color")
return f'#{color}'
def remove_background_color(image, hex_color, tolerance):
"""
Remove pixels of a specified hex color from an image.
"""
if isinstance(image, np.ndarray):
image = Image.fromarray(image)
image = image.convert("RGBA")
try:
hex_color = sanitize_hex_color(hex_color)
target_color = tuple(int(hex_color.lstrip('#')[i:i+2], 16) for i in (0, 2, 4))
except ValueError as e:
raise ValueError(str(e))
data = np.array(image)
mask = np.all(np.abs(data[:,:,:3] - target_color) <= tolerance, axis=2)
alpha_channel = np.where(mask, 0, 255)
data[:, :, 3] = alpha_channel
return data
def color_remover_interface(image, hex_color, tolerance, _=None):
"""
Gradio interface function for color removal.
"""
try:
if image is None:
raise ValueError("Please upload an image")
hex_color = sanitize_hex_color(hex_color)
processed_image = remove_background_color(image, hex_color, tolerance)
return processed_image # Return only the processed image
except Exception as e:
gr.Warning(str(e))
return image # Return original image in case of error
# Deploy using Gradio Client
iface = gr.Interface(
fn=color_remover_interface,
inputs=[
gr.Image(type="numpy", label="Upload Image"),
gr.Textbox(label="Hex Color to Remove", placeholder="#FFFFFF"),
gr.Slider(minimum=0, maximum=255, value=40, step=1, label="Color Tolerance"),
gr.ColorPicker(label="Pick a Color") # Color picker remains
],
outputs=[
gr.Image(type="numpy", label="Processed Image") # Removed output textbox
],
title="Image Colour Remover",
description="""
Remove a specific colour from your image with precision!
### How to Use:
1. Upload an image
2. Choose the colour to remove
3. Adjust the colour tolerance (higher numbers will remove similair colours to hex code entered)
4. See the magic happen!
""",
)
iface.launch(share=True) # Launch the interface with a shareable link |