app.py

import gradio as gr
from utils.detector import detect_clothing
from utils.advisor import get_advice

def run_style_savvy(image, bg_remove, body_type, face_shape, occasion):
    # 1) Detect garments
    items = detect_clothing(image, do_bg_remove=bg_remove)
    # 2) Get raw advice string
    advice_text = get_advice(items, body_type, face_shape, occasion)

    # 3) Parse out up to 5 tips
    tips = []
    for line in advice_text.splitlines():
        ln = line.strip()
        # catch bullets ("- …", "* …") or numbered ("1. …") or plain
        if ln.startswith(("-", "*")) or (len(ln) > 1 and ln[0].isdigit() and ln[1] in ". "):
            tips.append(ln.lstrip("-*0123456789. ").strip())
    if not tips:
        # fallback: split on sentences
        parts = [p.strip() for p in advice_text.split(".") if p.strip()]
        tips = parts[:5]
    tips = tips[:5]  # ensure max 5

    # 4) Build dark-themed HTML
    html = """
    <div style="
        background-color: #1e1e1e;
        color: #eeeeee;
        padding: 24px;
        border-radius: 12px;
        max-width: 600px;
    ">
      <h2>Your Style Tips</h2>
      <ul style="
          list-style: disc inside;
          font-size: 1.2em;
          line-height: 1.6;
      ">
    """
    for tip in tips:
        html += f"<li>{tip}</li>"
    html += "</ul></div>"

    return html

iface = gr.Interface(
    fn=run_style_savvy,
    inputs=[
        gr.Image(type="pil", label="Your Photo"),
        gr.Checkbox(label="Remove Background"),
        gr.Radio(["Slim","Athletic","Curvy","Plus-size"], label="Body Type"),
        gr.Radio(["Oval","Round","Square","Heart"],     label="Face Shape"),
        gr.Textbox(label="Occasion"),
    ],
    outputs=gr.HTML(),
    title="StyleSavvy",
    description="AI-powered fashion consultant. Upload your photo and get personalized style tips!",
)

if __name__ == "__main__":
    iface.launch()