Add Streamlit UI for Smile Changer (no API endpoints, Gradio logic reused, ready for Streamlit deployment)

app_streamlit.py

@@ -0,0 +1,63 @@
+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.")