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app.py
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@@ -0,0 +1,707 @@
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| 1 |
+
"""
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| 2 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 3 |
+
β SMILE SCORE β Diskon dengan Kemanisan Senyuman β
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| 4 |
+
β Model : Qwen/Qwen2.5-VL-3B-Instruct β
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| 5 |
+
β Space : RangGaraga/Smile_Score β
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| 6 |
+
ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 7 |
+
"""
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| 8 |
+
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| 9 |
+
import gradio as gr
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| 10 |
+
import random
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| 11 |
+
import re
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| 12 |
+
import json
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| 13 |
+
import torch
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| 14 |
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from PIL import Image
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| 15 |
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import numpy as np
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| 16 |
+
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| 17 |
+
from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor
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| 18 |
+
from qwen_vl_utils import process_vision_info
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| 19 |
+
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| 20 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 21 |
+
# CONSTANTS
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| 22 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 23 |
+
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| 24 |
+
BASE_PRICE = 6_000 # Rupiah
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| 25 |
+
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| 26 |
+
REWARD_TABLE = [
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| 27 |
+
{"value": 0, "label": "Rp 0", "base_prob": 0.2000, "emoji": "π"},
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| 28 |
+
{"value": 1000, "label": "Rp 1.000", "base_prob": 0.4000, "emoji": "π"},
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| 29 |
+
{"value": 2000, "label": "Rp 2.000", "base_prob": 0.3000, "emoji": "π"},
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| 30 |
+
{"value": 3000, "label": "Rp 3.000", "base_prob": 0.0990, "emoji": "π"},
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| 31 |
+
{"value": 6000, "label": "GRATIS", "base_prob": 0.0010, "emoji": "π"},
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| 32 |
+
]
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| 33 |
+
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| 34 |
+
MODEL_ID = "Qwen/Qwen2.5-VL-3B-Instruct"
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| 35 |
+
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| 36 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 37 |
+
# PROMPT ENGINEERING β Rule-based logic ada di sini
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| 38 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 39 |
+
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| 40 |
+
SMILE_SYSTEM_PROMPT = """Kamu adalah sistem AI penilai kemanisan senyuman untuk program diskon kafe.
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| 41 |
+
Tugasmu adalah menganalisis foto wajah seseorang dan memberikan skor kemanisan senyuman mereka.
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| 42 |
+
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| 43 |
+
KRITERIA PENILAIAN (0β100):
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| 44 |
+
1. KETULUSAN β Apakah senyuman terlihat tulus dan alami? (bukan dipaksakan)
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| 45 |
+
2. MATA IKUT TERSENYUM β Efek Duchenne smile: sudut mata terangkat, ada kerutan halus di ujung mata
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| 46 |
+
3. SUDUT BIBIR β Seberapa terangkat sudut bibir kiri dan kanan
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| 47 |
+
4. KECERAHAN WAJAH β Pipi terangkat, wajah tampak hidup dan bersemangat
|
| 48 |
+
5. GIGI TERLIHAT β Bonus poin jika senyuman sampai memperlihatkan gigi (opsional)
|
| 49 |
+
6. ENERGI POSITIF β Keseluruhan aura kegembiraan yang terpancar dari ekspresi
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| 50 |
+
|
| 51 |
+
SKALA SKOR:
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| 52 |
+
0 β 10 : Tidak ada senyuman sama sekali / ekspresi datar atau cemberut
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| 53 |
+
11 β 25 : Senyuman sangat tipis, hampir tidak terlihat
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| 54 |
+
26 β 45 : Senyuman ringan dan sopan, biasa-biasa saja
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| 55 |
+
46 β 65 : Senyuman yang cukup hangat dan menyenangkan
|
| 56 |
+
66 β 80 : Senyuman manis dan tulus yang menawan
|
| 57 |
+
81 β 90 : Senyuman sangat manis, tulus, dan penuh semangat
|
| 58 |
+
91 β 100 : Senyuman luar biasa! Sangat manis, memukau, dan menular
|
| 59 |
+
|
| 60 |
+
ATURAN TAMBAHAN:
|
| 61 |
+
- Jika TIDAK ADA WAJAH dalam gambar, set has_face = false dan smile_score = 0
|
| 62 |
+
- Jika ada lebih dari satu wajah, nilai wajah yang paling menonjol / terdepan
|
| 63 |
+
- Jika gambar buram/gelap sehingga tidak bisa dinilai, berikan skor 0
|
| 64 |
+
|
| 65 |
+
RESPONS: Kembalikan HANYA JSON berikut, tanpa teks lain, tanpa markdown fence:
|
| 66 |
+
{"smile_score": <integer 0-100>, "description": "<kalimat singkat Bahasa Indonesia maks 60 kata>", "has_face": <true|false>}"""
|
| 67 |
+
|
| 68 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 69 |
+
# MODEL LOADING
|
| 70 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 71 |
+
|
| 72 |
+
print("π Memuat model Qwen2.5-VL-3B-Instructβ¦")
|
| 73 |
+
_dtype = torch.float16 if torch.cuda.is_available() else torch.float32
|
| 74 |
+
_device = "cuda" if torch.cuda.is_available() else "cpu"
|
| 75 |
+
|
| 76 |
+
model = Qwen2_5_VLForConditionalGeneration.from_pretrained(
|
| 77 |
+
MODEL_ID,
|
| 78 |
+
torch_dtype=_dtype,
|
| 79 |
+
device_map="auto" if torch.cuda.is_available() else None,
|
| 80 |
+
trust_remote_code=True,
|
| 81 |
+
)
|
| 82 |
+
if not torch.cuda.is_available():
|
| 83 |
+
model = model.to(_device)
|
| 84 |
+
model.eval()
|
| 85 |
+
|
| 86 |
+
processor = AutoProcessor.from_pretrained(MODEL_ID, trust_remote_code=True)
|
| 87 |
+
print("β
Model siap!")
|
| 88 |
+
|
| 89 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββοΏ½οΏ½βββ
|
| 90 |
+
# CORE LOGIC
|
| 91 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 92 |
+
|
| 93 |
+
def analyze_smile(pil_image: Image.Image) -> tuple[int, str, bool]:
|
| 94 |
+
"""Run VLM inference and extract smile score."""
|
| 95 |
+
messages = [
|
| 96 |
+
{
|
| 97 |
+
"role": "user",
|
| 98 |
+
"content": [
|
| 99 |
+
{"type": "image", "image": pil_image},
|
| 100 |
+
{"type": "text", "text": SMILE_SYSTEM_PROMPT},
|
| 101 |
+
],
|
| 102 |
+
}
|
| 103 |
+
]
|
| 104 |
+
|
| 105 |
+
text_prompt = processor.apply_chat_template(
|
| 106 |
+
messages, tokenize=False, add_generation_prompt=True
|
| 107 |
+
)
|
| 108 |
+
image_inputs, video_inputs = process_vision_info(messages)
|
| 109 |
+
|
| 110 |
+
inputs = processor(
|
| 111 |
+
text=[text_prompt],
|
| 112 |
+
images=image_inputs,
|
| 113 |
+
videos=video_inputs,
|
| 114 |
+
padding=True,
|
| 115 |
+
return_tensors="pt",
|
| 116 |
+
).to(next(model.parameters()).device)
|
| 117 |
+
|
| 118 |
+
with torch.no_grad():
|
| 119 |
+
gen_ids = model.generate(
|
| 120 |
+
**inputs,
|
| 121 |
+
max_new_tokens=200,
|
| 122 |
+
temperature=0.05,
|
| 123 |
+
do_sample=False,
|
| 124 |
+
repetition_penalty=1.05,
|
| 125 |
+
)
|
| 126 |
+
|
| 127 |
+
trimmed = [
|
| 128 |
+
out[len(inp):]
|
| 129 |
+
for inp, out in zip(inputs.input_ids, gen_ids)
|
| 130 |
+
]
|
| 131 |
+
raw_output = processor.batch_decode(
|
| 132 |
+
trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False
|
| 133 |
+
)[0].strip()
|
| 134 |
+
|
| 135 |
+
# ββ Parse JSON ββββββββββββββββββββββββββββββββββββββββββββββ
|
| 136 |
+
json_match = re.search(r"\{.*?\}", raw_output, re.DOTALL)
|
| 137 |
+
if json_match:
|
| 138 |
+
try:
|
| 139 |
+
data = json.loads(json_match.group())
|
| 140 |
+
score = max(0, min(100, int(data.get("smile_score", 0))))
|
| 141 |
+
desc = data.get("description", "Senyuman berhasil dianalisis.")
|
| 142 |
+
has_face = bool(data.get("has_face", True))
|
| 143 |
+
return score, desc, has_face
|
| 144 |
+
except (json.JSONDecodeError, ValueError):
|
| 145 |
+
pass
|
| 146 |
+
|
| 147 |
+
# Fallback: cari angka 0β100 pertama
|
| 148 |
+
nums = re.findall(r"\b(\d{1,3})\b", raw_output)
|
| 149 |
+
for n in nums:
|
| 150 |
+
if 0 <= int(n) <= 100:
|
| 151 |
+
return int(n), raw_output[:120], True
|
| 152 |
+
|
| 153 |
+
return 0, "Tidak dapat menganalisis senyuman.", False
|
| 154 |
+
|
| 155 |
+
|
| 156 |
+
def get_minimum_reward(smile_score: int) -> int:
|
| 157 |
+
"""
|
| 158 |
+
Rule: Skor senyuman tinggi MENJAMIN minimum diskon tertentu.
|
| 159 |
+
Mencegah hasil terasa tidak adil (senyum manis tapi dapat Rp 0).
|
| 160 |
+
0 - 30 β Rp 0 (murni gacha)
|
| 161 |
+
31 - 80 β min Rp 1.000
|
| 162 |
+
81 - 100 β min Rp 2.000
|
| 163 |
+
"""
|
| 164 |
+
if smile_score >= 81:
|
| 165 |
+
return 2000
|
| 166 |
+
elif smile_score >= 31:
|
| 167 |
+
return 1000
|
| 168 |
+
else:
|
| 169 |
+
return 0
|
| 170 |
+
|
| 171 |
+
|
| 172 |
+
def calculate_reward(smile_score: int) -> tuple[int, list[float]]:
|
| 173 |
+
"""
|
| 174 |
+
Rule-based probability adjustment:
|
| 175 |
+
1. Skor tinggi geser peluang ke reward yang lebih besar.
|
| 176 |
+
2. Minimum reward guarantee agar hasil terasa adil dan konsisten.
|
| 177 |
+
"""
|
| 178 |
+
boost = smile_score / 100.0 # 0.0 - 1.0
|
| 179 |
+
|
| 180 |
+
# Probability shifting rules
|
| 181 |
+
w = [
|
| 182 |
+
max(0.03, REWARD_TABLE[0]["base_prob"] - boost * 0.17), # 0 down
|
| 183 |
+
max(0.10, REWARD_TABLE[1]["base_prob"] - boost * 0.10), # 1000 slightly down
|
| 184 |
+
REWARD_TABLE[2]["base_prob"] + boost * 0.05, # 2000 up
|
| 185 |
+
REWARD_TABLE[3]["base_prob"] + boost * 0.10, # 3000 up
|
| 186 |
+
REWARD_TABLE[4]["base_prob"] + boost * 0.12, # GRATIS up significantly
|
| 187 |
+
]
|
| 188 |
+
|
| 189 |
+
total = sum(w)
|
| 190 |
+
w = [x / total for x in w]
|
| 191 |
+
|
| 192 |
+
chosen = random.choices(
|
| 193 |
+
[r["value"] for r in REWARD_TABLE],
|
| 194 |
+
weights=w, k=1
|
| 195 |
+
)[0]
|
| 196 |
+
|
| 197 |
+
# Minimum reward guarantee (rule override)
|
| 198 |
+
min_reward = get_minimum_reward(smile_score)
|
| 199 |
+
if chosen < min_reward:
|
| 200 |
+
chosen = min_reward
|
| 201 |
+
# Zero-out tiers below minimum for display accuracy
|
| 202 |
+
for i, r in enumerate(REWARD_TABLE):
|
| 203 |
+
if r["value"] < min_reward:
|
| 204 |
+
w[i] = 0.0
|
| 205 |
+
total = sum(w)
|
| 206 |
+
w = [x / total if total > 0 else 0.0 for x in w]
|
| 207 |
+
|
| 208 |
+
return chosen, w
|
| 209 |
+
|
| 210 |
+
|
| 211 |
+
def fmt_rp(amount: int) -> str:
|
| 212 |
+
return f"Rp {amount:,}".replace(",", ".")
|
| 213 |
+
|
| 214 |
+
|
| 215 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 216 |
+
# GRADIO HANDLER
|
| 217 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 218 |
+
|
| 219 |
+
def run_analysis(image):
|
| 220 |
+
"""Main callback untuk tombol Analisis."""
|
| 221 |
+
if image is None:
|
| 222 |
+
return (
|
| 223 |
+
_error_card("Belum ada gambar! Upload foto atau ambil selfie dulu ya. π·"),
|
| 224 |
+
0,
|
| 225 |
+
gr.update(visible=False),
|
| 226 |
+
)
|
| 227 |
+
|
| 228 |
+
if isinstance(image, np.ndarray):
|
| 229 |
+
pil = Image.fromarray(image.astype(np.uint8))
|
| 230 |
+
else:
|
| 231 |
+
pil = image
|
| 232 |
+
|
| 233 |
+
smile_score, description, has_face = analyze_smile(pil)
|
| 234 |
+
|
| 235 |
+
if not has_face:
|
| 236 |
+
return (
|
| 237 |
+
_error_card("Wajah tidak terdeteksi. Pastikan wajahmu terlihat jelas di foto! π€³"),
|
| 238 |
+
0,
|
| 239 |
+
gr.update(visible=False),
|
| 240 |
+
)
|
| 241 |
+
|
| 242 |
+
reward, adj_weights = calculate_reward(smile_score)
|
| 243 |
+
final_price = max(0, BASE_PRICE - reward)
|
| 244 |
+
is_free = (reward >= BASE_PRICE)
|
| 245 |
+
|
| 246 |
+
result_html = _build_result_html(
|
| 247 |
+
smile_score, description, reward, adj_weights, final_price, is_free
|
| 248 |
+
)
|
| 249 |
+
|
| 250 |
+
return result_html, smile_score, gr.update(visible=True)
|
| 251 |
+
|
| 252 |
+
|
| 253 |
+
def _error_card(msg: str) -> str:
|
| 254 |
+
return f"""
|
| 255 |
+
<div style="
|
| 256 |
+
background: linear-gradient(135deg, #ff6b6b22, #ff6b6b11);
|
| 257 |
+
border: 1.5px solid #ff6b6b66;
|
| 258 |
+
border-radius: 16px;
|
| 259 |
+
padding: 24px 28px;
|
| 260 |
+
font-family: 'Nunito', sans-serif;
|
| 261 |
+
color: #ff4444;
|
| 262 |
+
text-align: center;
|
| 263 |
+
font-size: 1.05rem;
|
| 264 |
+
">β οΈ {msg}</div>"""
|
| 265 |
+
|
| 266 |
+
|
| 267 |
+
def _smile_bar_html(score: int) -> str:
|
| 268 |
+
color = (
|
| 269 |
+
"#ff6b6b" if score < 30 else
|
| 270 |
+
"#ffd166" if score < 55 else
|
| 271 |
+
"#06d6a0" if score < 75 else
|
| 272 |
+
"#f72585"
|
| 273 |
+
)
|
| 274 |
+
emoji = (
|
| 275 |
+
"π" if score < 20 else
|
| 276 |
+
"π" if score < 40 else
|
| 277 |
+
"π" if score < 60 else
|
| 278 |
+
"π" if score < 80 else
|
| 279 |
+
"π"
|
| 280 |
+
)
|
| 281 |
+
return f"""
|
| 282 |
+
<div style="margin: 12px 0;">
|
| 283 |
+
<div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:6px;">
|
| 284 |
+
<span style="font-weight:700;font-size:1.1rem;color:#333;">Skor Kemanisan Senyuman</span>
|
| 285 |
+
<span style="font-size:1.6rem;">{emoji} <strong style="color:{color};font-size:1.3rem;">{score}</strong><span style="color:#888;font-size:0.9rem;">/100</span></span>
|
| 286 |
+
</div>
|
| 287 |
+
<div style="background:#e8e8e8;border-radius:99px;height:14px;overflow:hidden;">
|
| 288 |
+
<div style="width:{score}%;height:100%;background:linear-gradient(90deg,{color}88,{color});border-radius:99px;transition:width 1s ease;"></div>
|
| 289 |
+
</div>
|
| 290 |
+
</div>"""
|
| 291 |
+
|
| 292 |
+
|
| 293 |
+
def _prob_rows_html(adj_weights: list[float], chosen_value: int) -> str:
|
| 294 |
+
rows = ""
|
| 295 |
+
for r, w in zip(REWARD_TABLE, adj_weights):
|
| 296 |
+
is_winner = (r["value"] == chosen_value)
|
| 297 |
+
bg = "background:linear-gradient(90deg,#f72585,#b5179e);color:#fff;font-weight:800;" if is_winner else ""
|
| 298 |
+
badge = " β Kamu! π―" if is_winner else ""
|
| 299 |
+
rows += f"""
|
| 300 |
+
<tr style="{bg}border-radius:8px;">
|
| 301 |
+
<td style="padding:10px 14px;border-radius:8px 0 0 8px;">{r['emoji']} {r['label']}</td>
|
| 302 |
+
<td style="padding:10px 14px;text-align:center;">{w*100:.2f}%</td>
|
| 303 |
+
<td style="padding:10px 14px;border-radius:0 8px 8px 0;">{badge}</td>
|
| 304 |
+
</tr>"""
|
| 305 |
+
return rows
|
| 306 |
+
|
| 307 |
+
|
| 308 |
+
def _build_result_html(
|
| 309 |
+
smile_score: int,
|
| 310 |
+
description: str,
|
| 311 |
+
reward: int,
|
| 312 |
+
adj_weights: list[float],
|
| 313 |
+
final_price: int,
|
| 314 |
+
is_free: bool,
|
| 315 |
+
) -> str:
|
| 316 |
+
|
| 317 |
+
prob_rows = _prob_rows_html(adj_weights, reward)
|
| 318 |
+
|
| 319 |
+
if is_free:
|
| 320 |
+
price_display = "π G R A T I S π"
|
| 321 |
+
final_style = "color:#f72585;font-size:1.6rem;font-weight:900;"
|
| 322 |
+
banner = f"""<div style="background:linear-gradient(135deg,#f72585,#b5179e,#7209b7);border-radius:16px;padding:20px;text-align:center;color:#fff;margin-bottom:20px;animation:pulse 1s infinite;">
|
| 323 |
+
<div style="font-size:2.5rem;">πππ</div>
|
| 324 |
+
<div style="font-size:1.4rem;font-weight:900;letter-spacing:2px;">SELAMAT! KAMU DAPAT GRATIS!</div>
|
| 325 |
+
<div style="font-size:0.9rem;opacity:0.9;margin-top:4px;">Senyumanmu luar biasa! Sangat jarang terjadi (0.01%)</div>
|
| 326 |
+
</div>"""
|
| 327 |
+
else:
|
| 328 |
+
price_display = fmt_rp(final_price)
|
| 329 |
+
final_style = "color:#2d3436;font-size:1.4rem;font-weight:800;"
|
| 330 |
+
banner = ""
|
| 331 |
+
if reward >= 3000:
|
| 332 |
+
banner = """<div style="background:linear-gradient(135deg,#f72585,#480ca8);border-radius:16px;padding:14px;text-align:center;color:#fff;margin-bottom:16px;">
|
| 333 |
+
<span style="font-size:1.2rem;font-weight:700;">π₯³ Wow! Diskon Besar! Senyumanmu sangat manis!</span>
|
| 334 |
+
</div>"""
|
| 335 |
+
|
| 336 |
+
discount_label = "π GRATIS" if is_free else fmt_rp(reward)
|
| 337 |
+
|
| 338 |
+
return f"""
|
| 339 |
+
<div style="font-family:'Nunito',sans-serif;max-width:100%;">
|
| 340 |
+
|
| 341 |
+
{banner}
|
| 342 |
+
|
| 343 |
+
<div style="background:#fff;border-radius:20px;padding:24px;box-shadow:0 4px 24px #0001;margin-bottom:16px;">
|
| 344 |
+
<h3 style="margin:0 0 12px;color:#333;font-size:1.15rem;">β¨ Analisis Senyuman</h3>
|
| 345 |
+
{_smile_bar_html(smile_score)}
|
| 346 |
+
<p style="background:#f8f8f8;border-left:4px solid #f72585;padding:10px 14px;border-radius:0 10px 10px 0;margin:12px 0 0;font-style:italic;color:#555;font-size:0.95rem;">"{description}"</p>
|
| 347 |
+
</div>
|
| 348 |
+
|
| 349 |
+
<div style="background:#fff;border-radius:20px;padding:24px;box-shadow:0 4px 24px #0001;margin-bottom:16px;">
|
| 350 |
+
<h3 style="margin:0 0 14px;color:#333;font-size:1.15rem;">π° Peluang Diskon (Disesuaikan Senyumanmu)</h3>
|
| 351 |
+
<table style="width:100%;border-collapse:separate;border-spacing:0 4px;font-size:0.95rem;">
|
| 352 |
+
<thead>
|
| 353 |
+
<tr style="color:#888;font-size:0.82rem;text-transform:uppercase;letter-spacing:0.5px;">
|
| 354 |
+
<th style="padding:4px 14px;text-align:left;">Reward</th>
|
| 355 |
+
<th style="padding:4px 14px;text-align:center;">Peluang</th>
|
| 356 |
+
<th style="padding:4px 14px;"></th>
|
| 357 |
+
</tr>
|
| 358 |
+
</thead>
|
| 359 |
+
<tbody>
|
| 360 |
+
{prob_rows}
|
| 361 |
+
</tbody>
|
| 362 |
+
</table>
|
| 363 |
+
</div>
|
| 364 |
+
|
| 365 |
+
<div style="background:linear-gradient(135deg,#2d3436,#636e72);border-radius:20px;padding:24px;color:#fff;box-shadow:0 4px 24px #0003;">
|
| 366 |
+
<h3 style="margin:0 0 16px;font-size:1.15rem;">π·οΈ Ringkasan Pembelian</h3>
|
| 367 |
+
<div style="display:flex;justify-content:space-between;padding:8px 0;border-bottom:1px solid #ffffff22;">
|
| 368 |
+
<span style="color:#ccc;">Harga Normal</span>
|
| 369 |
+
<span style="font-weight:600;">{fmt_rp(BASE_PRICE)}</span>
|
| 370 |
+
</div>
|
| 371 |
+
<div style="display:flex;justify-content:space-between;padding:8px 0;border-bottom:1px solid #ffffff22;">
|
| 372 |
+
<span style="color:#ccc;">Diskon Senyuman π</span>
|
| 373 |
+
<span style="font-weight:700;color:#f72585;">- {discount_label}</span>
|
| 374 |
+
</div>
|
| 375 |
+
<div style="display:flex;justify-content:space-between;padding:14px 0 0;">
|
| 376 |
+
<span style="font-size:1.1rem;font-weight:700;">π° Harga Final</span>
|
| 377 |
+
<span style="{final_style}">{price_display}</span>
|
| 378 |
+
</div>
|
| 379 |
+
</div>
|
| 380 |
+
|
| 381 |
+
</div>
|
| 382 |
+
<style>
|
| 383 |
+
@import url('https://fonts.googleapis.com/css2?family=Nunito:wght@400;600;700;800;900&display=swap');
|
| 384 |
+
@keyframes pulse {{0%,100%{{opacity:1}}50%{{opacity:.7}}}}
|
| 385 |
+
</style>"""
|
| 386 |
+
|
| 387 |
+
|
| 388 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 389 |
+
# CUSTOM CSS
|
| 390 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 391 |
+
|
| 392 |
+
CUSTOM_CSS = """
|
| 393 |
+
@import url('https://fonts.googleapis.com/css2?family=Nunito:wght@400;600;700;800;900&family=Pacifico&display=swap');
|
| 394 |
+
|
| 395 |
+
:root {
|
| 396 |
+
--color-primary: #f72585;
|
| 397 |
+
--color-secondary: #7209b7;
|
| 398 |
+
--color-accent: #4cc9f0;
|
| 399 |
+
--color-bg: #fff9fb;
|
| 400 |
+
--color-card: #ffffff;
|
| 401 |
+
--radius: 20px;
|
| 402 |
+
}
|
| 403 |
+
|
| 404 |
+
body, .gradio-container {
|
| 405 |
+
font-family: 'Nunito', sans-serif !important;
|
| 406 |
+
background: var(--color-bg) !important;
|
| 407 |
+
}
|
| 408 |
+
|
| 409 |
+
/* ββ Header ββ */
|
| 410 |
+
.smile-header {
|
| 411 |
+
text-align: center;
|
| 412 |
+
padding: 32px 16px 20px;
|
| 413 |
+
}
|
| 414 |
+
.smile-header .big-title {
|
| 415 |
+
font-family: 'Pacifico', cursive;
|
| 416 |
+
font-size: clamp(2rem, 5vw, 3.2rem);
|
| 417 |
+
background: linear-gradient(135deg, #f72585, #b5179e, #7209b7);
|
| 418 |
+
-webkit-background-clip: text;
|
| 419 |
+
-webkit-text-fill-color: transparent;
|
| 420 |
+
background-clip: text;
|
| 421 |
+
margin: 0;
|
| 422 |
+
line-height: 1.1;
|
| 423 |
+
}
|
| 424 |
+
.smile-header .subtitle {
|
| 425 |
+
color: #888;
|
| 426 |
+
font-size: 1rem;
|
| 427 |
+
margin: 6px 0 0;
|
| 428 |
+
}
|
| 429 |
+
|
| 430 |
+
/* ββ Tabs ββ */
|
| 431 |
+
.tab-nav button {
|
| 432 |
+
font-family: 'Nunito', sans-serif !important;
|
| 433 |
+
font-weight: 700 !important;
|
| 434 |
+
font-size: 1rem !important;
|
| 435 |
+
border-radius: 99px !important;
|
| 436 |
+
padding: 8px 24px !important;
|
| 437 |
+
transition: all .2s !important;
|
| 438 |
+
}
|
| 439 |
+
.tab-nav button.selected {
|
| 440 |
+
background: linear-gradient(135deg, #f72585, #7209b7) !important;
|
| 441 |
+
color: #fff !important;
|
| 442 |
+
box-shadow: 0 4px 16px #f7258544 !important;
|
| 443 |
+
}
|
| 444 |
+
|
| 445 |
+
/* ββ Main analyze button ββ */
|
| 446 |
+
.btn-analyze {
|
| 447 |
+
background: linear-gradient(135deg, #f72585, #b5179e, #7209b7) !important;
|
| 448 |
+
color: #fff !important;
|
| 449 |
+
font-family: 'Nunito', sans-serif !important;
|
| 450 |
+
font-weight: 800 !important;
|
| 451 |
+
font-size: 1.15rem !important;
|
| 452 |
+
border-radius: 99px !important;
|
| 453 |
+
padding: 14px 0 !important;
|
| 454 |
+
border: none !important;
|
| 455 |
+
cursor: pointer !important;
|
| 456 |
+
transition: transform .15s, box-shadow .15s !important;
|
| 457 |
+
box-shadow: 0 6px 24px #f7258555 !important;
|
| 458 |
+
width: 100%;
|
| 459 |
+
}
|
| 460 |
+
.btn-analyze:hover {
|
| 461 |
+
transform: translateY(-2px) !important;
|
| 462 |
+
box-shadow: 0 10px 32px #f7258577 !important;
|
| 463 |
+
}
|
| 464 |
+
.btn-analyze:active { transform: translateY(0) !important; }
|
| 465 |
+
|
| 466 |
+
/* ββ Reset button ββ */
|
| 467 |
+
.btn-reset {
|
| 468 |
+
background: #f0f0f0 !important;
|
| 469 |
+
color: #555 !important;
|
| 470 |
+
font-family: 'Nunito', sans-serif !important;
|
| 471 |
+
font-weight: 700 !important;
|
| 472 |
+
border-radius: 99px !important;
|
| 473 |
+
border: none !important;
|
| 474 |
+
cursor: pointer !important;
|
| 475 |
+
transition: background .15s !important;
|
| 476 |
+
width: 100%;
|
| 477 |
+
}
|
| 478 |
+
.btn-reset:hover { background: #e0e0e0 !important; }
|
| 479 |
+
|
| 480 |
+
/* ββ Cards ββ */
|
| 481 |
+
.info-card {
|
| 482 |
+
background: linear-gradient(135deg, #f72585, #7209b7);
|
| 483 |
+
border-radius: var(--radius);
|
| 484 |
+
padding: 20px 24px;
|
| 485 |
+
color: #fff;
|
| 486 |
+
margin-bottom: 16px;
|
| 487 |
+
}
|
| 488 |
+
.info-card h4 { margin: 0 0 10px; font-size: 1rem; opacity: .85; font-weight: 700; }
|
| 489 |
+
.info-card .price-big { font-size: 2rem; font-weight: 900; }
|
| 490 |
+
|
| 491 |
+
/* ββ Reward pills ββ */
|
| 492 |
+
.reward-pill {
|
| 493 |
+
display: inline-block;
|
| 494 |
+
padding: 4px 14px;
|
| 495 |
+
border-radius: 99px;
|
| 496 |
+
font-weight: 700;
|
| 497 |
+
font-size: 0.88rem;
|
| 498 |
+
background: #f72585;
|
| 499 |
+
color: #fff;
|
| 500 |
+
margin: 3px;
|
| 501 |
+
}
|
| 502 |
+
|
| 503 |
+
/* ββ Score progress bar (Gradio slider overrides) ββ */
|
| 504 |
+
#smile-score-slider .wrap { pointer-events: none; }
|
| 505 |
+
#smile-score-slider input[type=range] {
|
| 506 |
+
accent-color: #f72585;
|
| 507 |
+
}
|
| 508 |
+
|
| 509 |
+
/* ββ Result panel ββ */
|
| 510 |
+
#result-panel .prose { font-family: 'Nunito', sans-serif !important; }
|
| 511 |
+
|
| 512 |
+
/* ββ Image areas ββ */
|
| 513 |
+
.image-upload-area {
|
| 514 |
+
border: 2.5px dashed #f7258577 !important;
|
| 515 |
+
border-radius: var(--radius) !important;
|
| 516 |
+
background: #fff9fb !important;
|
| 517 |
+
min-height: 260px;
|
| 518 |
+
}
|
| 519 |
+
|
| 520 |
+
/* ββ Mirror webcam: flip video feed horizontally ββ */
|
| 521 |
+
#webcam-mirror video,
|
| 522 |
+
#webcam-mirror canvas {
|
| 523 |
+
transform: scaleX(-1) !important;
|
| 524 |
+
}
|
| 525 |
+
"""
|
| 526 |
+
|
| 527 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 528 |
+
# GRADIO UI
|
| 529 |
+
# βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 530 |
+
|
| 531 |
+
def reset_ui():
|
| 532 |
+
return None, None, "", 0, gr.update(visible=False)
|
| 533 |
+
|
| 534 |
+
_theme = gr.themes.Base(
|
| 535 |
+
font=gr.themes.GoogleFont("Nunito"),
|
| 536 |
+
primary_hue=gr.themes.colors.pink,
|
| 537 |
+
secondary_hue=gr.themes.colors.purple,
|
| 538 |
+
neutral_hue=gr.themes.colors.gray,
|
| 539 |
+
radius_size=gr.themes.sizes.radius_lg,
|
| 540 |
+
)
|
| 541 |
+
|
| 542 |
+
with gr.Blocks(title="π Smile Score β Diskon dengan Senyuman") as demo:
|
| 543 |
+
|
| 544 |
+
# ββ Header βββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 545 |
+
gr.HTML("""
|
| 546 |
+
<div class="smile-header">
|
| 547 |
+
<h1 class="big-title">π Smile Score</h1>
|
| 548 |
+
<p class="subtitle">Senyum lebih manis β Diskon lebih besar! Harga normal <strong>Rp 6.000</strong></p>
|
| 549 |
+
<div style="margin-top:12px;display:flex;flex-wrap:wrap;justify-content:center;gap:8px;">
|
| 550 |
+
<span class="reward-pill">π Rp 0 (20%)</span>
|
| 551 |
+
<span class="reward-pill">π Rp 1.000 (40%)</span>
|
| 552 |
+
<span class="reward-pill">π Rp 2.000 (30%)</span>
|
| 553 |
+
<span class="reward-pill">π Rp 3.000 (9.9%)</span>
|
| 554 |
+
<span class="reward-pill">π GRATIS (0.01%)</span>
|
| 555 |
+
</div>
|
| 556 |
+
</div>
|
| 557 |
+
""")
|
| 558 |
+
|
| 559 |
+
# ββ Main Layout ββββββββββββββββββββββββββββββββββββββββββββ
|
| 560 |
+
with gr.Row(equal_height=False):
|
| 561 |
+
|
| 562 |
+
# LEFT COLUMN β Input
|
| 563 |
+
with gr.Column(scale=1, min_width=300):
|
| 564 |
+
|
| 565 |
+
with gr.Tabs(elem_classes="tab-nav") as input_tabs:
|
| 566 |
+
|
| 567 |
+
with gr.TabItem("π· Selfie (Webcam)", id="tab_webcam"):
|
| 568 |
+
webcam_input = gr.Image(
|
| 569 |
+
sources="webcam",
|
| 570 |
+
type="numpy",
|
| 571 |
+
label="Ambil Selfie",
|
| 572 |
+
elem_id="webcam-mirror",
|
| 573 |
+
elem_classes="image-upload-area",
|
| 574 |
+
height=300,
|
| 575 |
+
)
|
| 576 |
+
gr.HTML("<p style='text-align:center;color:#aaa;font-size:0.85rem;margin-top:6px;'>Pastikan wajahmu terlihat jelas & tersenyum manis! π</p>")
|
| 577 |
+
|
| 578 |
+
with gr.TabItem("πΌοΈ Upload Foto", id="tab_upload"):
|
| 579 |
+
upload_input = gr.Image(
|
| 580 |
+
sources=["upload", "clipboard"],
|
| 581 |
+
type="numpy",
|
| 582 |
+
label="Upload Foto",
|
| 583 |
+
elem_classes="image-upload-area",
|
| 584 |
+
height=300,
|
| 585 |
+
)
|
| 586 |
+
gr.HTML("<p style='text-align:center;color:#aaa;font-size:0.85rem;margin-top:6px;'>Format JPG / PNG / WEBP. Max 10MB.</p>")
|
| 587 |
+
|
| 588 |
+
gr.HTML("<div style='height:12px;'></div>")
|
| 589 |
+
|
| 590 |
+
analyze_btn = gr.Button(
|
| 591 |
+
"β¨ Analisis Senyumanku!",
|
| 592 |
+
elem_classes="btn-analyze",
|
| 593 |
+
variant="primary",
|
| 594 |
+
)
|
| 595 |
+
|
| 596 |
+
reset_btn = gr.Button(
|
| 597 |
+
"π Reset",
|
| 598 |
+
elem_classes="btn-reset",
|
| 599 |
+
variant="secondary",
|
| 600 |
+
)
|
| 601 |
+
|
| 602 |
+
# Info card: harga pokok
|
| 603 |
+
gr.HTML("""
|
| 604 |
+
<div class="info-card" style="margin-top:16px;">
|
| 605 |
+
<h4>π·οΈ Harga Normal Produk</h4>
|
| 606 |
+
<div class="price-big">Rp 6.000</div>
|
| 607 |
+
<div style="font-size:0.88rem;opacity:.8;margin-top:4px;">
|
| 608 |
+
Senyum tulus = peluang diskon makin besar!
|
| 609 |
+
</div>
|
| 610 |
+
</div>
|
| 611 |
+
""")
|
| 612 |
+
|
| 613 |
+
# Tips
|
| 614 |
+
with gr.Accordion("π‘ Tips Senyuman Manis", open=False):
|
| 615 |
+
gr.HTML("""
|
| 616 |
+
<ul style="font-size:0.92rem;color:#555;line-height:1.8;margin:0;padding-left:18px;">
|
| 617 |
+
<li>Biarkan senyumanmu <strong>alami & tulus</strong></li>
|
| 618 |
+
<li>Ikutkan <strong>matamu tersenyum</strong> (efek Duchenne)</li>
|
| 619 |
+
<li>Tampilkan <strong>gigi</strong> untuk nilai lebih</li>
|
| 620 |
+
<li>Pastikan <strong>pencahayaan cukup</strong> & wajah jelas</li>
|
| 621 |
+
<li>Bayangkan hal yang membuatmu <strong>bahagia!</strong> π</li>
|
| 622 |
+
</ul>
|
| 623 |
+
""")
|
| 624 |
+
|
| 625 |
+
# RIGHT COLUMN β Output
|
| 626 |
+
with gr.Column(scale=1, min_width=320):
|
| 627 |
+
|
| 628 |
+
gr.HTML("<h3 style='margin:0 0 12px;font-family:Nunito,sans-serif;color:#333;'>π Hasil Analisis</h3>")
|
| 629 |
+
|
| 630 |
+
smile_score_slider = gr.Slider(
|
| 631 |
+
minimum=0, maximum=100, value=0,
|
| 632 |
+
label="Skor Senyuman",
|
| 633 |
+
interactive=False,
|
| 634 |
+
elem_id="smile-score-slider",
|
| 635 |
+
)
|
| 636 |
+
|
| 637 |
+
result_html = gr.HTML(
|
| 638 |
+
value="""<div style="background:#f9f9f9;border-radius:20px;padding:40px 24px;text-align:center;color:#bbb;font-family:Nunito,sans-serif;">
|
| 639 |
+
<div style='font-size:3rem;'>πΆ</div>
|
| 640 |
+
<div style='margin-top:8px;font-size:1rem;'>Ambil selfie atau upload foto,<br>lalu klik <strong>Analisis Senyumanku!</strong></div>
|
| 641 |
+
</div>""",
|
| 642 |
+
elem_id="result-panel",
|
| 643 |
+
)
|
| 644 |
+
|
| 645 |
+
again_btn = gr.Button(
|
| 646 |
+
"π Coba Lagi!",
|
| 647 |
+
elem_classes="btn-analyze",
|
| 648 |
+
visible=False,
|
| 649 |
+
variant="primary",
|
| 650 |
+
)
|
| 651 |
+
|
| 652 |
+
# ββ Footer βββββββββββββββββββββββββββββββββββββββββββββββββ
|
| 653 |
+
gr.HTML("""
|
| 654 |
+
<div style="text-align:center;padding:28px 16px 12px;color:#ccc;font-family:Nunito,sans-serif;font-size:0.85rem;">
|
| 655 |
+
Powered by <strong style="color:#f72585;">Qwen2.5-VL-3B-Instruct</strong> Β·
|
| 656 |
+
Built with β€οΈ on <strong>Hugging Face Spaces</strong>
|
| 657 |
+
</div>
|
| 658 |
+
""")
|
| 659 |
+
|
| 660 |
+
# ββ State & Events βββββββββββββββββββββββββββββββββββββββββ
|
| 661 |
+
|
| 662 |
+
active_image = gr.State(None)
|
| 663 |
+
|
| 664 |
+
def merge_inputs(webcam_img, upload_img):
|
| 665 |
+
"""Gunakan gambar dari tab yang aktif (yang tidak None)."""
|
| 666 |
+
img = webcam_img if webcam_img is not None else upload_img
|
| 667 |
+
return img
|
| 668 |
+
|
| 669 |
+
def on_analyze(webcam_img, upload_img):
|
| 670 |
+
img = merge_inputs(webcam_img, upload_img)
|
| 671 |
+
html, score, again_vis = run_analysis(img)
|
| 672 |
+
return html, score, again_vis
|
| 673 |
+
|
| 674 |
+
analyze_btn.click(
|
| 675 |
+
fn=on_analyze,
|
| 676 |
+
inputs=[webcam_input, upload_input],
|
| 677 |
+
outputs=[result_html, smile_score_slider, again_btn],
|
| 678 |
+
)
|
| 679 |
+
|
| 680 |
+
again_btn.click(
|
| 681 |
+
fn=on_analyze,
|
| 682 |
+
inputs=[webcam_input, upload_input],
|
| 683 |
+
outputs=[result_html, smile_score_slider, again_btn],
|
| 684 |
+
)
|
| 685 |
+
|
| 686 |
+
reset_btn.click(
|
| 687 |
+
fn=lambda: (
|
| 688 |
+
None, None,
|
| 689 |
+
"""<div style="background:#f9f9f9;border-radius:20px;padding:40px 24px;text-align:center;color:#bbb;font-family:Nunito,sans-serif;">
|
| 690 |
+
<div style='font-size:3rem;'>πΆ</div>
|
| 691 |
+
<div style='margin-top:8px;font-size:1rem;'>Ambil selfie atau upload foto,<br>lalu klik <strong>Analisis Senyumanku!</strong></div>
|
| 692 |
+
</div>""",
|
| 693 |
+
0,
|
| 694 |
+
gr.update(visible=False),
|
| 695 |
+
),
|
| 696 |
+
inputs=[],
|
| 697 |
+
outputs=[webcam_input, upload_input, result_html, smile_score_slider, again_btn],
|
| 698 |
+
)
|
| 699 |
+
|
| 700 |
+
|
| 701 |
+
demo.launch(
|
| 702 |
+
server_name="0.0.0.0",
|
| 703 |
+
server_port=7860,
|
| 704 |
+
share=False,
|
| 705 |
+
css=CUSTOM_CSS,
|
| 706 |
+
theme=_theme,
|
| 707 |
+
)
|