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| import streamlit as st | |
| from PIL import Image, ImageFilter | |
| from preprocess import removeBg | |
| import os | |
| # def process_image(input_image): | |
| # # Open the uploaded image | |
| # img = Image.open(input_image) | |
| # # Apply some image processing (for example, applying a Gaussian blur) | |
| # processed_img = img.filter(ImageFilter.GaussianBlur(radius=5)) | |
| # return processed_img | |
| def main(): | |
| st.title("Image Processing App") | |
| uploaded_image = st.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"]) | |
| if uploaded_image is not None: | |
| st.image(uploaded_image, caption="Uploaded Image", use_column_width=True) | |
| img = Image.open(uploaded_image) | |
| img.save('uploaded_image.jpg') | |
| if st.button("Process Image"): | |
| # processed_image = process_image(uploaded_image) | |
| removeBg('uploaded_image.jpg') | |
| filtered_image = os.listdir('static/results')[0] | |
| filtered_image_path = f"static/results/{filtered_image}" | |
| # Display the processed image | |
| st.image(filtered_image_path, caption="Filtered Image", use_column_width=True) | |
| if __name__ == "__main__": | |
| main() | |