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greenangelica_secure_hfspace/README.md
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# Hair Analyzer Green Angelica
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Gradio app untuk analisa rambut via Hugging Face Inference API.
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greenangelica_secure_hfspace/app.py
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import gradio as gr
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import requests
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import base64
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import os
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def analyze_hair(name, phone, gender, city, image):
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api_url = "https://api-inference.huggingface.co/models/microsoft/beit-base-patch16-224"
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hf_token = os.getenv("HUGGINGFACEHUB_API_TOKEN")
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headers = {"Authorization": f"Bearer {hf_token}"}
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img_bytes = image.read()
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encoded_image = base64.b64encode(img_bytes).decode("utf-8")
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payload = { "inputs": encoded_image }
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response = requests.post(api_url, headers=headers, json=payload)
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if response.status_code != 200:
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return "Gagal konek ke AI", "", "", "", ""
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result = response.json()
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label = result[0]["label"]
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score = result[0]["score"] * 100
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rekomendasi = "Gunakan paket lengkap Green Angelica"
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if "Dry" in label: rekomendasi = "Gunakan Serum & Tonik Green Angelica"
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elif "Oily" in label: rekomendasi = "Gunakan Shampo Green Angelica"
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return (
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f"Hasil: {label}",
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f"Akurasi AI: {score:.2f}%",
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f"Rekomendasi: {rekomendasi}",
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"https://shopee.co.id/ga.greenangelica",
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"https://wa.me/6285607761778?text=Halo%20Admin%2C%20saya%20ingin%20konsultasi%20masalah%20rambut"
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)
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demo = gr.Interface(
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fn=analyze_hair,
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inputs=[
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gr.Textbox(label="Nama"),
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gr.Textbox(label="No WhatsApp"),
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gr.Radio(["Pria", "Wanita"], label="Jenis Kelamin"),
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gr.Textbox(label="Kota"),
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gr.Image(type="file", label="Upload Foto Rambut")
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],
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outputs=[
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gr.Textbox(label="Hasil AI"),
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gr.Textbox(label="Kepercayaan"),
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gr.Textbox(label="Saran Produk"),
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gr.Textbox(label="Link Shopee"),
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gr.Textbox(label="Link WA Konsultasi")
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],
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title="Hair Analyzer Green Angelica",
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description="Analisa jenis rambut dan rekomendasi produk Green Angelica via AI"
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)
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demo.launch()
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greenangelica_secure_hfspace/logo green angelica.jpg
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greenangelica_secure_hfspace/requirements.txt
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gradio
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requests
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