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app.py
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import gradio as gr
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from utils.detector import detect_clothing
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from utils.advisor import get_advice
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def run_style_savvy(image, bg_remove, body_type, face_shape, occasion):
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# 1) Detect garments
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items = detect_clothing(image, do_bg_remove=bg_remove)
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# 2) Get raw advice string
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advice_text = get_advice(items, body_type, face_shape, occasion)
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# 3) Parse out up to 5 tips
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tips = []
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for line in advice_text.splitlines():
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ln = line.strip()
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# catch bullets ("- …", "* …") or numbered ("1. …") or plain
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if ln.startswith(("-", "*")) or (len(ln) > 1 and ln[0].isdigit() and ln[1] in ". "):
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tips.append(ln.lstrip("-*0123456789. ").strip())
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if not tips:
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# fallback: split on sentences
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parts = [p.strip() for p in advice_text.split(".") if p.strip()]
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tips = parts[:5]
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tips = tips[:5] # ensure max 5
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# 4) Build dark-themed HTML
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html = """
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<div style="
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background-color: #1e1e1e;
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color: #eeeeee;
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padding: 24px;
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border-radius: 12px;
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max-width: 600px;
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margin: auto;
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">
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<h2 style="
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margin-top: 0;
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font-size: 2em;
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color: #ffa726;
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text-align: center;
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">
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✨ Your 5 Custom Style Tips ✨
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</h2>
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<ul style="
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list-style: disc inside;
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font-size: 1.2em;
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line-height: 1.6;
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">
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"""
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for tip in tips:
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html += f"<li>{tip}</li>"
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html += "</ul></div>"
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return html
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iface = gr.Interface(
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fn=run_style_savvy,
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inputs=[
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gr.Image(type="pil", label="Your Photo"),
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gr.Checkbox(label="Remove Background"),
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gr.Radio(["Slim","Athletic","Curvy","Plus-size"], label="Body Type"),
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gr.Radio(["Oval","Round","Square","Heart"], label="Face Shape"),
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gr.Textbox(label="Occasion"),
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],
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outputs=gr.HTML(), # render our styled HTML
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title="StyleSavvy",
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description="AI-powered fashion consultant. Upload your photo and get personalized style tips!",
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)
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if __name__ == "__main__":
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iface.launch()
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