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a8b1bdc 6fef7de a8b1bdc 88bb9ec a8b1bdc 6fef7de a8b1bdc 6fef7de | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | import streamlit as st
import cv2
from PIL import Image, ImageEnhance
import numpy as np # Add this line
# Function to apply grayscale filter
def grayscale(image):
gray_img = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
return gray_img
# Function to adjust brightness
def adjust_brightness(image, factor):
pil_img = Image.fromarray(image)
enhancer = ImageEnhance.Brightness(pil_img)
enhanced_img = enhancer.enhance(factor)
return cv2.cvtColor(np.array(enhanced_img), cv2.COLOR_RGB2BGR)
# Load image from uploaded file
def load_image(uploaded_file):
img = cv2.imdecode(np.fromstring(uploaded_file.read(), np.uint8), cv2.IMREAD_COLOR)
return img
st.title("Image Editor")
st.subheader("Enhance your images with simple filters!")
# Upload image
uploaded_file = st.file_uploader("Choose an image:", type=["jpg", "jpeg", "png"])
if uploaded_file is not None:
image = load_image(uploaded_file)
st.image(image, channels="BGR") # Display original image
# Filter selection
filter_options = {"Original": image, "Grayscale": grayscale(image.copy())}
selected_filter = st.selectbox("Select a filter:", list(filter_options.keys()))
filtered_image = filter_options[selected_filter]
# Brightness adjustment slider (optional)
brightness_factor = st.slider("Adjust Brightness", 0.5, 2.0, step=0.1, value=1.0)
adjusted_image = adjust_brightness(filtered_image.copy(), brightness_factor)
# Display edited image
st.image(adjusted_image, channels="BGR")
# Download button
if st.button("Download Edited Image"):
with open("edited_image.jpg", "wb") as f:
cv2.imwrite("edited_image.jpg", adjusted_image)
f.write(open("edited_image.jpg", "rb").read())
st.success("Image downloaded successfully!")
st.sidebar.markdown(
"""
**About this App:**
This is a simple image editor built with Streamlit and deployed on Hugging Face. It allows you to upload images, apply grayscale filter (and optionally adjust brightness), and download the edited version.
**Feel free to explore and enhance your images!**
"""
)
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