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import streamlit as st
from PIL import Image, ImageFilter, ImageEnhance
import numpy as np
import io
def apply_filter(image, filter_type):
if filter_type == "Grayscale":
return image.convert("L")
elif filter_type == "Blur":
return image.filter(ImageFilter.BLUR)
elif filter_type == "Contour":
return image.filter(ImageFilter.CONTOUR)
elif filter_type == "Edge Enhance":
return image.filter(ImageFilter.EDGE_ENHANCE)
elif filter_type == "Sharpen":
return image.filter(ImageFilter.SHARPEN)
else:
return image
def main():
st.title("Image Editor")
st.sidebar.title("Editor Options")
filter_option = st.sidebar.selectbox("Choose a filter:", [
"None", "Grayscale", "Blur", "Contour", "Edge Enhance", "Sharpen"
])
brightness = st.sidebar.slider("Adjust Brightness", 0.5, 3.0, 1.0)
contrast = st.sidebar.slider("Adjust Contrast", 0.5, 3.0, 1.0)
uploaded_file = st.file_uploader("Upload an image", type=["jpg", "jpeg", "png"])
if uploaded_file is not None:
image = Image.open(uploaded_file)
st.image(image, caption="Uploaded Image", use_column_width=True)
# Apply filter
edited_image = apply_filter(image, filter_option)
# Adjust brightness and contrast
enhancer = ImageEnhance.Brightness(edited_image)
edited_image = enhancer.enhance(brightness)
enhancer = ImageEnhance.Contrast(edited_image)
edited_image = enhancer.enhance(contrast)
st.image(edited_image, caption="Edited Image", use_column_width=True)
# Download edited image
buf = io.BytesIO()
edited_image.save(buf, format="PNG")
byte_im = buf.getvalue()
st.download_button(
label="Download Edited Image",
data=byte_im,
file_name="edited_image.png",
mime="image/png",
)
if __name__ == "__main__":
main()
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