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import streamlit as st | |
from PIL import Image, ImageEnhance, ImageFilter, ImageDraw, ImageFont | |
import io | |
import numpy as np | |
import cv2 | |
from rembg import remove # For background removal | |
# Title and Description | |
st.title("Advanced Image Enhancer and Editor") | |
st.write("Enhance, edit, and apply AI-powered enhancements to your images!") | |
# File Upload | |
uploaded_file = st.file_uploader("Upload an Image", type=["jpg", "jpeg", "png"]) | |
if uploaded_file: | |
# Load image | |
image = Image.open(uploaded_file) | |
st.image(image, caption="Uploaded Image", use_column_width=True) | |
# Sidebar Tools | |
st.sidebar.title("Editing Tools") | |
# Basic Adjustments | |
brightness = st.sidebar.slider("Brightness", 0.1, 3.0, 1.0) | |
contrast = st.sidebar.slider("Contrast", 0.1, 3.0, 1.0) | |
sharpness = st.sidebar.slider("Sharpness", 0.1, 3.0, 1.0) | |
color = st.sidebar.slider("Color Saturation", 0.1, 3.0, 1.0) | |
# Debugging print for color value | |
st.write(f"Color Value: {color}") | |
# Filters | |
if st.sidebar.checkbox("Apply Filters"): | |
filter_option = st.sidebar.selectbox("Select a Filter", ["None", "BLUR", "DETAIL", "EDGE_ENHANCE", "SMOOTH"]) | |
if filter_option == "BLUR": | |
image = image.filter(ImageFilter.BLUR) | |
elif filter_option == "DETAIL": | |
image = image.filter(ImageFilter.DETAIL) | |
elif filter_option == "EDGE_ENHANCE": | |
image = image.filter(ImageFilter.EDGE_ENHANCE) | |
elif filter_option == "SMOOTH": | |
image = image.filter(ImageFilter.SMOOTH) | |
# AI Filters | |
if st.sidebar.checkbox("Apply AI Filters"): | |
ai_filter = st.sidebar.selectbox("Select AI Filter", ["Cartoonize", "Sketch"]) | |
image_array = np.array(image) | |
if ai_filter == "Cartoonize": | |
gray = cv2.cvtColor(image_array, cv2.COLOR_BGR2GRAY) | |
edges = cv2.adaptiveThreshold(gray, 255, cv2.ADAPTIVE_THRESH_MEAN_C, cv2.THRESH_BINARY, 9, 9) | |
color = cv2.bilateralFilter(image_array, 9, 250, 250) | |
cartoon = cv2.bitwise_and(color, color, mask=edges) | |
image = Image.fromarray(cartoon) | |
elif ai_filter == "Sketch": | |
gray = cv2.cvtColor(image_array, cv2.COLOR_BGR2GRAY) | |
inv = 255 - gray | |
blur = cv2.GaussianBlur(inv, (21, 21), 0) | |
sketch = cv2.divide(gray, 255 - blur, scale=256) | |
image = Image.fromarray(sketch) | |
# Background Removal | |
if st.sidebar.checkbox("Remove Background"): | |
image = Image.open(io.BytesIO(remove(uploaded_file.read()))) | |
# Watermarking | |
if st.sidebar.checkbox("Add Watermark"): | |
watermark_text = st.sidebar.text_input("Watermark Text", "My Watermark") | |
draw = ImageDraw.Draw(image) | |
font = ImageFont.load_default() # Use default font if arial.ttf doesn't work | |
width, height = image.size | |
text_width, text_height = draw.textsize(watermark_text, font) | |
x, y = width - text_width - 10, height - text_height - 10 | |
draw.text((x, y), watermark_text, font=font, fill=(255, 255, 255, 128)) | |
# Enhance Image | |
try: | |
enhancer = ImageEnhance.Brightness(image) | |
image = enhancer.enhance(brightness) | |
enhancer = ImageEnhance.Contrast(image) | |
image = enhancer.enhance(contrast) | |
enhancer = ImageEnhance.Sharpness(image) | |
image = enhancer.enhance(sharpness) | |
enhancer = ImageEnhance.Color(image) | |
image = enhancer.enhance(color) # Enhance color saturation | |
except Exception as e: | |
st.write(f"Error during enhancement: {e}") | |
# Display Enhanced Image | |
st.image(image, caption="Enhanced Image", use_column_width=True) | |
# Download Button | |
buf = io.BytesIO() | |
image.save(buf, format="PNG") | |
byte_im = buf.getvalue() | |
st.download_button("Download Enhanced Image", data=byte_im, file_name="enhanced_image.png", mime="image/png") |