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import streamlit as st
from PIL import Image
import io
from app import run_edit, ATTRIBUTE_MAP # reuse the logic from your existing code
st.title("Smile Changer – Streamlit Edition")
st.markdown(
"""
**AI-powered facial attribute editor**. Upload your photo, choose an attribute, and let the AI create a new version!
*Supported attributes*: Smile, Age, Female features, Beard, Mustache/Goatee, Glasses, Makeup, Curly hair, Afro, Orange/Blonde hair (text)
"""
)
uploaded_file = st.file_uploader("Upload face image", type=["png", "jpg", "jpeg"])
if uploaded_file:
image = Image.open(uploaded_file).convert("RGB")
st.image(image, caption="Input face")
col1, col2 = st.columns(2)
with col1:
attribute = st.selectbox(
"Edit Attribute",
list(ATTRIBUTE_MAP.keys()),
index=list(ATTRIBUTE_MAP.keys()).index("Smile")
)
with col2:
lo, hi = ATTRIBUTE_MAP[attribute][1]
strength = st.slider("Strength", float(lo), float(hi), float((lo+hi)/2), step=0.01)
align_face = st.checkbox("Align face before editing", value=True)
use_bg_mask = st.checkbox("Use background mask (reduce artifacts)", value=False)
custom_text_edit = ""
if attribute.endswith("(text)"):
custom_text_edit = st.text_input(
"Custom text edit (optional, for StyleCLIP Global Mapper)",
value=""
)
if st.button("Run Edit"):
try:
with st.spinner("Editing image..."):
result = run_edit(
image=image,
attribute=attribute,
strength=strength,
align_face=align_face,
use_bg_mask=use_bg_mask,
custom_text_edit=custom_text_edit,
)
st.image(result, caption=f"Output ({attribute})")
# Download button
buf = io.BytesIO()
result.save(buf, format="PNG")
st.download_button("Download result", buf.getvalue(), file_name="output.png", mime="image/png")
except Exception as e:
st.error(f"An error occurred: {e}")
else:
st.info("Please upload a face image to get started.")
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