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Create app.py
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app.py
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import streamlit as st
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from rembg import remove
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from PIL import Image
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import io
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# Function to remove background using rembg
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def remove_background(image_file):
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# Open the uploaded image using PIL
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input_image = Image.open(image_file)
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# Convert image to byte format for processing
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img_byte_arr = io.BytesIO()
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input_image.save(img_byte_arr, format='PNG')
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img_byte_arr = img_byte_arr.getvalue()
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# Remove background using rembg
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output_image = remove(img_byte_arr)
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# Convert output byte data to an image
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output_image = Image.open(io.BytesIO(output_image))
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return output_image
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# Streamlit UI setup
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st.title("Background Removal Tool")
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st.markdown("""
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Upload an image, and this tool will automatically remove the background.
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You can then download the processed image with a transparent background.
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""")
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# Sidebar for uploading the image
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st.sidebar.header("Upload Your Image")
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uploaded_file = st.sidebar.file_uploader("Choose an image...", type=["jpg", "jpeg", "png"])
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# Columns layout for displaying images
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col1, col2 = st.columns(2)
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if uploaded_file is not None:
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# Show the original image in the first column
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with col1:
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st.subheader("Original Image")
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st.image(uploaded_file, caption="Uploaded Image", use_column_width=True)
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# Remove background and display the processed image in the second column
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with col2:
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st.subheader("Processed Image")
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result_image = remove_background(uploaded_file)
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st.image(result_image, caption="Processed Image", use_column_width=True)
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# Provide a download button for the processed image
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result_image_bytes = io.BytesIO()
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result_image.save(result_image_bytes, format='PNG')
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result_image_bytes.seek(0)
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st.download_button(
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label="Download Image with Removed Background",
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data=result_image_bytes,
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file_name="output_image.png",
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mime="image/png"
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)
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else:
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st.info("Please upload an image file to remove the background.")
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