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Singularity666
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c844544
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Parent(s):
59864f6
Update app.py
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app.py
CHANGED
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import streamlit as st
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import
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import
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import requests
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from PIL import Image
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from io import BytesIO
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# Run the GFPGAN model
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output = replicate.run(
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"tencentarc/gfpgan:9283608cc6b7be6b65a8e44983db012355fde4132009bf99d976b2f0896856a3",
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input={"img": img_file, "version": "v1.4", "scale": 16}
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)
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# The output is a URI of the processed image
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# We will retrieve the image data and save it
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response = requests.get(output)
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img = Image.open(BytesIO(response.content))
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img.save("upscaled.png") # Save the upscaled image
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return img
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def main():
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st.title("Image Upscaling")
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st.write("Upload an image and it will be upscaled.")
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uploaded_file = st.file_uploader("Choose an image...", type="png")
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if uploaded_file is not None:
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with open("
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f.write(uploaded_file.
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if __name__ == "__main__":
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import streamlit as st
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from main import upscale_image
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import base64
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def get_image_download_link(img_path, filename="upscaled_image.png"):
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with open(img_path, 'rb') as f:
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bytes = f.read()
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b64 = base64.b64encode(bytes).decode()
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href = f'<a href="data:file/octet-stream;base64,{b64}" download=\'{filename}\'>Click here to download the upscaled image</a>'
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return href
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def app():
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uploaded_file = st.file_uploader("Choose an image...", type="png")
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if uploaded_file is not None:
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with open("uploaded.png", "wb") as f:
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f.write(uploaded_file.getvalue())
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upscale_image("uploaded.png") # This will create "upscaled.png"
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st.image("upscaled.png", caption="Upscaled Image", use_column_width=True)
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st.markdown(get_image_download_link("upscaled.png"), unsafe_allow_html=True)
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if __name__ == "__main__":
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app()
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