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vighnesh-shetty-vs commited on
Commit ·
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Parent(s): 526fab1
Add updated files
Browse files- app.py +65 -340
- game_data.py +7 -21
app.py
CHANGED
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@@ -8,202 +8,76 @@ from game_data import calculate_impact, MODELS
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from dialogues import get_dialogue
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from alternatives import ALTERNATIVES
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print("Loading classification model...")
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classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
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"
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return
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<div class="stats-container">
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<div class="stat-card water-card">
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<div class="stat-label">WATER TANK (10L MAX)</div>
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<div class="stat-value">{water:.2f}L</div>
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<div class="progress-bar-bg">
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<div class="progress-bar-fill" style="width: {water_percent}%;"></div>
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</div>
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</div>
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<div class="stat-card energy-card">
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<div class="stat-label">ENERGY WASTED</div>
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<div class="stat-value">{energy:.4f} <span style="font-size: 0.5em;">kWh</span></div>
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</div>
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<div class="stat-card co2-card">
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<div class="stat-label">CARBON (CO₂e)</div>
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<div class="stat-value">{co2:.2f}g</div>
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</div>
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<div class="stat-card points-card">
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<div class="stat-label">SCORE</div>
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<div class="stat-value">{points}</div>
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</div>
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</div>
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"""
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def get_drip_visuals(water_level):
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if water_level > 7.0:
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g_start, g_end = "#7dd3fc", "#0369a1"
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mouth_d = "M43 112 Q60 122 77 112"
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cracks_op, sweat_op, tear_op = "0", "0", "0"
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mood, mood_color = "Hydrated and coping", "rgb(34, 211, 238)"
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anim = "bounce 2s infinite ease-in-out"
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elif 3.0 <= water_level <= 7.0:
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g_start, g_end = "#38bdf8", "#0284c7"
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mouth_d = "M43 112 Q60 110 77 112"
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cracks_op, sweat_op, tear_op = "0", "1", "0"
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mood, mood_color = "Shrinking & Sweaty", "#0ea5e9"
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anim = "float 4s infinite ease-in-out"
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elif water_level > 0:
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g_start, g_end = "#fca5a5", "#b91c1c"
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mouth_d = "M43 116 Q60 102 77 116"
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cracks_op, sweat_op, tear_op = "1", "0", "1"
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mood, mood_color = "Overheating & Raspy", "#ef4444"
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anim = "shake 0.5s infinite"
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else:
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g_start, g_end = "#94a3b8", "#334155"
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mouth_d = "M40 112 Q45 105 50 112 T60 112 T70 112 T80 112"
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cracks_op, sweat_op, tear_op = "0", "0", "0"
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mood, mood_color = "Evaporated!", "#94a3b8"
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anim = "floatUp 3s forwards"
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return f"""
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<div class="drip-panel" style="animation: {anim}; display: flex; flex-direction: column; align-items: center; justify-content: center; width: 100%;">
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<div class="drip-lbl" style="font-weight: 800; color: #94a3b8; letter-spacing: 3px; font-size: 14px; margin-bottom: 5px;">DRIP</div>
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<svg id="drip-svg" viewBox="0 0 120 148" style="width: 140px; height: 160px; overflow: visible;" xmlns="http://www.w3.org/2000/svg">
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<defs>
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<radialGradient id="dg" cx="38%" cy="32%">
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<stop id="dg1" offset="0%" stop-color="{g_start}"></stop>
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<stop id="dg2" offset="100%" stop-color="{g_end}"></stop>
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</radialGradient>
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</defs>
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<path id="dbody" d="M60 8 C60 8,102 66,102 90 C102 118,83 137,60 137 C37 137,18 118,18 90 C18 66,60 8,60 8Z" fill="url(#dg)" stroke="rgba(34,211,238,0.35)" stroke-width="1.5" opacity="1"></path>
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<ellipse cx="42" cy="70" rx="9" ry="13" fill="rgba(255,255,255,0.22)" transform="rotate(-18,42,70)"></ellipse>
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<circle cx="44" cy="90" r="10" fill="white"></circle>
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<circle cx="76" cy="90" r="10" fill="white"></circle>
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<circle id="pl" cx="45" cy="91" r="6" fill="#0f172a"></circle>
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<circle id="pr" cx="77" cy="91" r="6" fill="#0f172a"></circle>
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<circle cx="47" cy="88" r="2.5" fill="white"></circle>
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<circle cx="79" cy="88" r="2.5" fill="white"></circle>
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<path id="dm" d="{mouth_d}" stroke="#0f172a" stroke-width="2.5" stroke-linecap="round" fill="none"></path>
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<g id="cracks" opacity="{cracks_op}" style="transition: opacity 0.5s;">
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<path d="M80 46 L86 58 L79 65 L85 77" stroke="#bae6fd" stroke-width="1.3" stroke-linecap="round" fill="none" opacity=".7"></path>
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<path d="M37 82 L31 93 L39 99" stroke="#bae6fd" stroke-width="1.3" stroke-linecap="round" fill="none" opacity=".7"></path>
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</g>
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<path id="sweat" d="M108 76 C110 70,116 70,116 78 C116 84,110 88,108 82Z" fill="#7dd3fc" opacity="{sweat_op}" style="transition: opacity 0.5s;"></path>
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<path id="tear" d="M38 104 C37 108,33 108,33 112 C33 115,36 117,38 114 C40 117,43 115,43 112 C43 108,39 108,38 104Z" fill="#93c5fd" opacity="{tear_op}" style="transition: opacity 0.5s;"></path>
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</svg>
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<div class="drip-mood" id="drip-mood" style="color: {mood_color}; font-weight: 500; font-size: 1.1rem; margin-top: 15px;">{mood}</div>
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<div style="text-align:center; margin-top:10px;">
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<div style="font-size:10px; color:#94a3b8; text-transform:uppercase; letter-spacing:1px;">Water Left</div>
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<div style="font-size:26px; font-weight:700; color:{mood_color};" id="d-water">{water_level:.2f}L</div>
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</div>
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</div>
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"""
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def get_impact_cards(impact, category):
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return f"""
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<div class="impact-container">
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<div class="impact-card bad-impact">
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<h3 style="margin: 0 0 10px 0; color: #fca5a5;">🔥 LLM Impact</h3>
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<p
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<p
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<p
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<p style="margin:0; font-size:0.85em; opacity: 0.8;">Deducted from global reserves.</p>
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</div>
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<div class="impact-card good-impact">
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<h3 style="margin: 0 0 10px 0; color: #86efac;">🌿 Eco-Alternative</h3>
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<p
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<p style="
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<p style="margin:4px 0; font-size:1.1em;"><strong>~0.01 g</strong> CO₂e</p>
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<p style="margin:0; font-size:0.85em; opacity: 0.8;">Near-zero footprint.</p>
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</div>
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</div>
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"""
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def format_alt_button(text, impact):
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icon = "💡"
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if "Search" in text or "Google" in text: icon = "🔍"
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elif "Wikipedia" in text or "Encyclopedia" in text: icon = "📚"
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elif "Expert" in text or "Quora" in text: icon = "👤"
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elif "Wolfram" in text or "Geogebra" in text or "Desmos" in text: icon = "🧮"
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elif "Reddit" in text or "Gutenberg" in text or "Thesaurus" in text: icon = "📝"
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return f"{icon} {text}\n\n🏆 Score: +10 Pts\n💧 Save: {impact['water_ml']} mL\n⚡ Save: {impact['energy_wh']} Wh\n☁️ Save: {impact['co2_g']} g"
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def generate_victory_dashboard(state):
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"""
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total_w_saved =
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total_e_saved =
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total_c_saved = 0
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rows = ""
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for item in state["history"]:
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if item['alt_name'] =
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saved_w, saved_e, saved_c = 0.0, 0.0, 0.0
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alt_display = "<span style='color: #94a3b8;'>Justified Use (No Alternative)</span>"
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else:
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saved_w = item['water_ml']
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saved_e = max(0, item['energy_wh'] - 0.001)
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saved_c = max(0, item['co2_g'] - 0.01)
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total_w_saved += saved_w
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total_e_saved += saved_e
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total_c_saved += saved_c
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alt_display = f"<span style='color: #34d399;'>{item['alt_name']}</span>"
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rows += f"""
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<tr style="border-bottom: 1px solid rgba(255,255,255,0.1);
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<td style="padding:
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<td style="padding:
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<td style="padding:
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<td style="padding:
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</tr>
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"""
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return f"""
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<div class="victory-
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<div class="
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<h1
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<p style="text-align: center; font-size: 1.
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<div class="
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<div class="v-
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<h2>{state['water']:.2f} L</h2>
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</div>
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<div class="v-stat-box" style="border-color: #34d399;">
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<h4 style="color: #34d399;">Planetary Savings</h4>
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<p style="color: #34d399; margin: 5px 0;">💧 {total_w_saved:.1f} mL Saved</p>
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<p style="color: #facc15; margin: 5px 0;">⚡ {total_e_saved:.2f} Wh Saved</p>
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<p style="color: #a8a29e; margin: 5px 0;">☁️ {total_c_saved:.2f} g Saved</p>
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</div>
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<div class="v-stat-box" style="border-color: #fca5a5;">
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<h4 style="color: #fca5a5;">Total Usage</h4>
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<p style="color: #fca5a5; margin: 5px 0;">💧 {10.0 - state['water']:.2f} L</p>
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<p style="color: #fca5a5; margin: 5px 0;">⚡ {state['energy']:.4f} kWh</p>
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<p style="color: #fca5a5; margin: 5px 0;">☁️ {state['co2']:.2f} g</p>
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</div>
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</div>
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<h3 style="margin-top:
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<
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<tr style="background: rgba(56, 189, 248, 0.1); border-bottom: 2px solid #38bdf8;">
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<th style="padding: 15px;">User Query</th>
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<th style="padding: 15px;">LLM Cost (Wasted)</th>
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<th style="padding: 15px;">Best Alternative</th>
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<th style="padding: 15px;">Potential Savings</th>
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</tr>
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{rows}
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</table>
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</div>
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"""
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def process_query(user_input, selected_model, state):
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if state["game_over"] or not user_input.strip():
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return [state
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result = classifier(user_input, CATEGORIES)
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category = result['labels'][0]
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confidence = result['scores'][0]
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impact = calculate_impact(category, confidence, user_input, selected_model)
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state["queries"] += 1
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state["water"] = max(0, state["water"] - impact["water_l"])
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state["energy"] += impact["energy_kwh"]
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state["co2"] += impact["co2_g"]
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if category == "complex research query":
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state["points"] += 50
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dialogue = f"A legitimate research query! Finally, a worthy use of my massive architecture. Drain away!"
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else:
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show_alts = True
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raw_alts = ALTERNATIVES.get(category, [{"text": "Google", "url": "https://google.com"}])
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state["current_best_alt"] = raw_alts[0]
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best_alt_name = raw_alts[0]["text"]
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random.shuffle(raw_alts)
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state["current_shuffled_alts"] = raw_alts
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alt_choices = [format_alt_button(a["text"], impact) for a in raw_alts]
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dialogue = get_dialogue(state["water"], category)
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state["history"].append({
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"query": user_input,
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"
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"energy_wh": impact["energy_wh"],
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"co2_g": impact["co2_g"],
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"alt_name": best_alt_name
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})
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drip_ui = get_drip_visuals(state["water"])
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impact_ui = get_impact_cards(impact, category)
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audio_path = generate_audio(dialogue)
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feedback_text = f"<div class='feedback-box'>🧠 <strong>{category.upper()}</strong> Detected!<br><br><em>\"{dialogue}\"</em></div>"
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if state["points"] >= 500 or state["water"] <= 0:
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state["game_over"] = True
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gr.update(), gr.update(),
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return (state,
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if state["game_over"] or not state.get("current_best_alt"):
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return state, gr.update(), gr.update(), gr.update(), gr.update(visible=True), gr.update(visible=False), gr.update()
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clean_choice = choice_text.split("\n")[0][2:].strip()
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selected_dict = next((item for item in state["current_shuffled_alts"] if item["text"] == clean_choice), None)
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if clean_choice == state["current_best_alt"]["text"]:
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state["points"] += 10
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msg = f"✅ **Excellent!** +10 Points.\n\n<a href='{selected_dict['url']}' target='_blank' style='display:inline-block; margin-top:10px; padding: 10px 20px; background:#10b981; color:white; text-decoration:none; border-radius:8px; font-weight:bold;'>👉 Click here to use {clean_choice}</a>"
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else:
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msg = f"⚠️ **Okay choice.** Better than an LLM, but there was a slightly more optimal tool.\n\n<a href='{selected_dict['url']}' target='_blank' style='display:inline-block; margin-top:10px; padding: 10px 20px; background:#38bdf8; color:white; text-decoration:none; border-radius:8px; font-weight:bold;'>👉 Click here to use {clean_choice}</a>"
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stats_ui = get_stats_html(state["water"], state["energy"], state["co2"], state["points"])
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if state["points"] >= 500:
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state["game_over"] = True
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victory_html = generate_victory_dashboard(state)
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return state, stats_ui, gr.update(), gr.update(), gr.update(visible=False), gr.update(visible=True), gr.update(value=victory_html)
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return state, stats_ui, gr.update(value=msg), gr.update(visible=False), gr.update(visible=True), gr.update(visible=False), gr.update()
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custom_css = """
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@import url('https://fonts.googleapis.com/css2?family=Outfit:wght@300;500;700&display=swap');
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body, .gradio-container { background-color: #0B1120 !important; font-family: 'Outfit', sans-serif !important; color: #e2e8f0 !important; }
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.gradio-container { max-width: 950px !important; margin: auto; padding-top: 20px; }
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h1 { text-align: center; color: #38bdf8; text-shadow: 0 0 15px rgba(56, 189, 248, 0.5); font-size: 2.5em !important; margin-bottom: 5px !important;}
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.subtitle { text-align: center; color: #94a3b8; margin-bottom: 30px; font-weight: 300; }
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.stats-container { display: flex; gap: 10px; justify-content: space-between; margin-bottom: 20px; }
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.stat-card { flex: 1; padding: 15px 10px; border-radius: 12px; text-align: center; background: rgba(30, 41, 59, 0.6); border: 1px solid rgba(255,255,255,0.1); }
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.water-card { box-shadow: 0 4px 20px rgba(56, 189, 248, 0.15); border-top: 2px solid #38bdf8; }
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.energy-card { box-shadow: 0 4px 20px rgba(250, 204, 21, 0.15); border-top: 2px solid #facc15; }
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.co2-card { box-shadow: 0 4px 20px rgba(168, 162, 158, 0.15); border-top: 2px solid #a8a29e; }
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.points-card { box-shadow: 0 4px 20px rgba(52, 211, 153, 0.15); border-top: 2px solid #34d399; }
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.stat-label { font-size: 0.75em; letter-spacing: 1px; opacity: 0.8; margin-bottom: 5px; }
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.stat-value { font-size: 1.8em; font-weight: 700; color: white; }
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.progress-bar-bg { background: #1e293b; height: 8px; border-radius: 4px; margin-top: 10px; overflow: hidden; }
|
| 309 |
-
.progress-bar-fill { background: linear-gradient(90deg, #0284c7, #38bdf8); height: 100%; transition: width 0.5s ease; }
|
| 310 |
-
|
| 311 |
-
@keyframes bounce { 0%, 100% { transform: translateY(0); } 50% { transform: translateY(-15px); } }
|
| 312 |
-
@keyframes float { 0%, 100% { transform: translateY(0); } 50% { transform: translateY(-5px); } }
|
| 313 |
-
@keyframes shake { 0%, 100% { transform: translateX(0); } 25% { transform: translateX(-3px); } 75% { transform: translateX(3px); } }
|
| 314 |
-
@keyframes floatUp { to { transform: translateY(-30px); opacity: 0; } }
|
| 315 |
-
|
| 316 |
-
.drip-pod { background: rgba(15, 23, 42, 0.6); border-radius: 24px; border: 1px solid rgba(56, 189, 248, 0.2); padding: 30px 20px; display: flex; flex-direction: column; align-items: center; box-shadow: inset 0 0 40px rgba(0,0,0,0.5); }
|
| 317 |
-
.drip-audio { background: transparent !important; border: none !important; box-shadow: none !important; width: 100%; max-width: 300px; filter: invert(1) hue-rotate(180deg) brightness(1.5); margin-bottom: 15px;}
|
| 318 |
-
.feedback-box { background: rgba(56, 189, 248, 0.1); border-left: 4px solid #38bdf8; padding: 15px; border-radius: 8px; font-size: 1.05em; color: #e2e8f0; width: 100%; text-align: left; line-height: 1.4; box-sizing: border-box;}
|
| 319 |
-
|
| 320 |
-
.input-row { align-items: stretch !important; margin: 10px 0; }
|
| 321 |
-
.custom-textbox textarea { background: rgba(30, 41, 59, 0.8) !important; border: 1px solid #38bdf8 !important; color: white !important; font-size: 1.1em !important; border-radius: 12px !important; box-shadow: inset 0 2px 10px rgba(0,0,0,0.3) !important; padding: 15px !important; resize: none !important; }
|
| 322 |
-
.custom-btn { background: linear-gradient(135deg, #0284c7, #0ea5e9) !important; border: none !important; color: white !important; font-weight: bold !important; font-size: 1.1em !important; border-radius: 12px !important; transition: all 0.3s !important; height: 100%; min-height: 85px; }
|
| 323 |
-
.custom-btn:hover { box-shadow: 0 0 20px rgba(56, 189, 248, 0.6) !important; transform: scale(1.02); }
|
| 324 |
-
|
| 325 |
-
.impact-container { display: flex; gap: 20px; width: 100%; }
|
| 326 |
-
.impact-card { flex: 1; padding: 20px; border-radius: 16px; border: 1px solid rgba(255,255,255,0.1); }
|
| 327 |
-
.bad-impact { background: linear-gradient(180deg, rgba(127, 29, 29, 0.3), rgba(69, 10, 10, 0.5)); border-top: 3px solid #ef4444; }
|
| 328 |
-
.good-impact { background: linear-gradient(180deg, rgba(20, 83, 45, 0.3), rgba(6, 78, 59, 0.5)); border-top: 3px solid #10b981; }
|
| 329 |
-
|
| 330 |
-
.alt-group { padding: 25px; background: linear-gradient(145deg, rgba(16, 185, 129, 0.05), rgba(6, 95, 70, 0.1)); border-radius: 20px; border: 1px solid rgba(16, 185, 129, 0.3); margin-top: 25px; box-shadow: 0 10px 30px rgba(0,0,0,0.2);}
|
| 331 |
-
.alt-card { background: linear-gradient(145deg, #1e293b, #0f172a) !important; border: 1px solid #10b981 !important; color: #a7f3d0 !important; height: auto !important; min-height: 180px !important; border-radius: 16px !important; font-size: 1.05em !important; font-weight: 500 !important; white-space: pre-wrap !important; line-height: 1.5 !important; padding: 15px !important; transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1) !important; cursor: pointer; box-shadow: 0 4px 15px rgba(0,0,0,0.4) !important;}
|
| 332 |
-
.alt-card:hover { background: linear-gradient(145deg, #064e3b, #065f46) !important; transform: translateY(-8px) !important; box-shadow: 0 12px 30px rgba(16, 185, 129, 0.3) !important; color: white !important; border-color: #34d399 !important;}
|
| 333 |
-
.custom-dropdown { background: rgba(30, 41, 59, 0.8) !important; border: 1px solid #38bdf8 !important; border-radius: 12px !important; }
|
| 334 |
-
|
| 335 |
-
/* Victory Dashboard & Celebration */
|
| 336 |
-
@keyframes pulseGlow { 0% { box-shadow: 0 0 20px rgba(52, 211, 153, 0.4); } 50% { box-shadow: 0 0 50px rgba(52, 211, 153, 0.8); } 100% { box-shadow: 0 0 20px rgba(52, 211, 153, 0.4); } }
|
| 337 |
-
.victory-dashboard { background: linear-gradient(135deg, #0f172a, #1e293b); padding: 40px; border-radius: 24px; border: 2px solid #34d399; animation: pulseGlow 2s infinite; color: white; position: relative; overflow: hidden; }
|
| 338 |
-
.victory-title { text-align: center; color: #34d399; font-size: 3.5em !important; text-shadow: 0 0 20px rgba(52, 211, 153, 0.6); margin-bottom: 5px; }
|
| 339 |
-
.victory-stats-row { display: flex; gap: 20px; margin-top: 30px; }
|
| 340 |
-
.v-stat-box { flex: 1; background: rgba(0,0,0,0.4); padding: 25px; border-radius: 16px; text-align: center; border: 1px solid rgba(52, 211, 153, 0.3); }
|
| 341 |
-
.v-stat-box h4 { color: #94a3b8; font-size: 0.9em; text-transform: uppercase; letter-spacing: 1px; margin: 0 0 10px 0; }
|
| 342 |
-
.v-stat-box h2 { color: #38bdf8; font-size: 2.5em; margin: 0; }
|
| 343 |
-
|
| 344 |
-
/* Confetti Blast Animation */
|
| 345 |
-
.confetti { position: absolute; top: 0; left: 0; width: 100%; height: 100%; pointer-events: none; z-index: 10; }
|
| 346 |
-
.confetti::before { content: '🎉'; position: absolute; font-size: 2rem; animation: scatter 3s infinite linear; }
|
| 347 |
-
@keyframes scatter {
|
| 348 |
-
0% { transform: translate(50vw, 50vh) rotate(0deg); opacity: 1; }
|
| 349 |
-
100% { transform: translate(calc(100vw * var(--x)), calc(100vh * var(--y))) rotate(360deg); opacity: 0; }
|
| 350 |
-
}
|
| 351 |
-
"""
|
| 352 |
-
|
| 353 |
-
with gr.Blocks(title="EcoQueryQuest") as demo:
|
| 354 |
-
game_state = gr.State({
|
| 355 |
-
"water": 10.0, "energy": 0.0, "co2": 0.0, "points": 0, "queries": 0,
|
| 356 |
-
"history": [], "game_over": False, "current_best_alt": None, "current_shuffled_alts": []
|
| 357 |
-
})
|
| 358 |
-
|
| 359 |
-
gr.Markdown("<h1>🌍 EcoQueryQuest</h1>")
|
| 360 |
-
gr.Markdown("<div class='subtitle'>Select a model, type a query, and watch Drip react. Reach 500 points to win!</div>")
|
| 361 |
-
|
| 362 |
-
stats_html = gr.HTML(get_stats_html(10.0, 0.0, 0.0, 0))
|
| 363 |
-
|
| 364 |
-
with gr.Column(visible=True) as main_game_ui:
|
| 365 |
-
with gr.Row():
|
| 366 |
-
with gr.Column(scale=1, elem_classes=["drip-pod"]):
|
| 367 |
-
drip_html = gr.HTML(get_drip_visuals(10.0))
|
| 368 |
-
drip_audio = gr.Audio(label="Drip's Voice", autoplay=True, interactive=False, elem_classes=["drip-audio"])
|
| 369 |
-
drip_feedback = gr.HTML("<div class='feedback-box'>Waiting for your first query...</div>")
|
| 370 |
-
|
| 371 |
-
with gr.Column(scale=2):
|
| 372 |
-
model_selector = gr.Dropdown(choices=list(MODELS.keys()), value="GPT-5.4", label="Select Target LLM Backend", elem_classes=["custom-dropdown"])
|
| 373 |
-
with gr.Row(elem_classes=["input-row"]):
|
| 374 |
-
user_input = gr.Textbox(show_label=False, placeholder="Type your query here...", elem_classes=["custom-textbox"], scale=4, lines=3)
|
| 375 |
-
submit_btn = gr.Button("Send Query", elem_classes=["custom-btn"], scale=1)
|
| 376 |
-
impact_display = gr.HTML()
|
| 377 |
-
|
| 378 |
-
with gr.Group(visible=False, elem_classes=["alt-group"]) as alternatives_group:
|
| 379 |
-
gr.Markdown("<h3 style='text-align:center; color:#34d399; margin-bottom: 20px;'>🌱 Drip says: 'Quick! Pick a greener tool to earn points!'</h3>")
|
| 380 |
-
with gr.Row():
|
| 381 |
-
alt_btn_1 = gr.Button("", elem_classes=["alt-card"])
|
| 382 |
-
alt_btn_2 = gr.Button("", elem_classes=["alt-card"])
|
| 383 |
-
alt_btn_3 = gr.Button("", elem_classes=["alt-card"])
|
| 384 |
-
alt_feedback = gr.Markdown()
|
| 385 |
-
|
| 386 |
-
with gr.Column(visible=False) as victory_ui:
|
| 387 |
-
victory_display = gr.HTML()
|
| 388 |
-
|
| 389 |
-
submit_btn.click(
|
| 390 |
-
fn=process_query,
|
| 391 |
-
inputs=[user_input, model_selector, game_state],
|
| 392 |
-
outputs=[game_state, stats_html, drip_html, drip_audio, impact_display, drip_feedback, alternatives_group, alt_btn_1, alt_btn_2, alt_btn_3, alt_feedback, user_input, main_game_ui, victory_ui, victory_display]
|
| 393 |
-
)
|
| 394 |
-
|
| 395 |
-
for btn in [alt_btn_1, alt_btn_2, alt_btn_3]:
|
| 396 |
-
btn.click(
|
| 397 |
-
fn=select_alternative,
|
| 398 |
-
inputs=[btn, game_state],
|
| 399 |
-
outputs=[game_state, stats_html, alt_feedback, alternatives_group, main_game_ui, victory_ui, victory_display]
|
| 400 |
-
)
|
| 401 |
-
|
| 402 |
-
if __name__ == "__main__":
|
| 403 |
-
demo.launch(css=custom_css)
|
|
|
|
| 8 |
from dialogues import get_dialogue
|
| 9 |
from alternatives import ALTERNATIVES
|
| 10 |
|
|
|
|
| 11 |
classifier = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
|
| 12 |
|
| 13 |
+
def get_relatable_translations(impact):
|
| 14 |
+
"""Converts abstract numbers into physical examples."""
|
| 15 |
+
# Water: 1 bottle = 500mL
|
| 16 |
+
bottles = impact['water_ml'] / 500.0
|
| 17 |
+
w_ex = f"{bottles:.1f} water bottles" if bottles >= 0.1 else "A few sips"
|
| 18 |
+
|
| 19 |
+
# Energy: 10 LED bulbs (10W each) for 1 hour = 100Wh
|
| 20 |
+
# Let's use 1 LED bulb for X hours
|
| 21 |
+
bulb_hours = impact['energy_wh'] / 10.0
|
| 22 |
+
e_ex = f"{bulb_hours:.1f} hours of 1 LED bulb" if bulb_hours >= 0.1 else f"{impact['energy_wh']*12:.1f} mins of 1 LED bulb"
|
| 23 |
+
|
| 24 |
+
# CO2: 1 phone charge = ~5g
|
| 25 |
+
charges = impact['co2_g'] / 5.0
|
| 26 |
+
c_ex = f"{charges:.1f} phone charges" if charges >= 0.1 else "Negligible emissions"
|
| 27 |
+
|
| 28 |
+
return w_ex, e_ex, c_ex
|
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|
| 29 |
|
| 30 |
def get_impact_cards(impact, category):
|
| 31 |
+
w_ex, e_ex, c_ex = get_relatable_translations(impact)
|
| 32 |
return f"""
|
| 33 |
<div class="impact-container">
|
| 34 |
<div class="impact-card bad-impact">
|
| 35 |
<h3 style="margin: 0 0 10px 0; color: #fca5a5;">🔥 LLM Impact</h3>
|
| 36 |
+
<p>💧 <strong>{impact['water_ml']} mL</strong> ({w_ex})</p>
|
| 37 |
+
<p>⚡ <strong>{impact['energy_wh']} Wh</strong> ({e_ex})</p>
|
| 38 |
+
<p>☁️ <strong>{impact['co2_g']} g</strong> ({c_ex})</p>
|
|
|
|
| 39 |
</div>
|
| 40 |
<div class="impact-card good-impact">
|
| 41 |
<h3 style="margin: 0 0 10px 0; color: #86efac;">🌿 Eco-Alternative</h3>
|
| 42 |
+
<p><strong>~0.0 mL</strong> Water | <strong>~0.001 Wh</strong> Energy</p>
|
| 43 |
+
<p style="font-size:0.85em; opacity: 0.8;">Zero bottles wasted. Planet saved.</p>
|
|
|
|
|
|
|
| 44 |
</div>
|
| 45 |
</div>
|
| 46 |
"""
|
| 47 |
|
|
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|
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|
|
|
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|
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|
| 48 |
def generate_victory_dashboard(state):
|
| 49 |
+
"""Victory screen with celebrations and detailed audit[cite: 14, 41]."""
|
| 50 |
+
total_w_saved = sum(item['water_ml'] for item in state["history"] if item['alt_name'] != "None")
|
| 51 |
+
total_e_saved = sum(item['energy_wh'] for item in state["history"] if item['alt_name'] != "None")
|
|
|
|
| 52 |
|
| 53 |
rows = ""
|
| 54 |
for item in state["history"]:
|
| 55 |
+
savings = f"{item['water_ml']:.1f}mL saved" if item['alt_name'] != "None" else "Justified"
|
|
|
|
|
|
|
|
|
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|
|
|
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|
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|
| 56 |
rows += f"""
|
| 57 |
+
<tr style="border-bottom: 1px solid rgba(255,255,255,0.1);">
|
| 58 |
+
<td style="padding: 10px;">{item['query']}</td>
|
| 59 |
+
<td style="padding: 10px; color: #fca5a5;">{item['water_ml']}mL / {item['co2_g']}g</td>
|
| 60 |
+
<td style="padding: 10px; color: #34d399;">{item['alt_name']}</td>
|
| 61 |
+
<td style="padding: 10px; color: #60a5fa;">{savings}</td>
|
| 62 |
</tr>
|
| 63 |
"""
|
| 64 |
|
| 65 |
return f"""
|
| 66 |
+
<div class="victory-screen">
|
| 67 |
+
<div class="pyro"><div class="before"></div><div class="after"></div></div>
|
| 68 |
+
<h1 style="color: #34d399; text-align: center; font-size: 3em;">🏆 MISSION ACCOMPLISHED!</h1>
|
| 69 |
+
<p style="text-align: center; font-size: 1.2em;">You reached {state['points']} points and protected the environment!</p>
|
| 70 |
|
| 71 |
+
<div class="final-stats">
|
| 72 |
+
<div class="v-box"><h4>Total Water Saved</h4><h2>{total_w_saved:.1f} mL</h2><p>({total_w_saved/500:.1f} bottles)</p></div>
|
| 73 |
+
<div class="v-box"><h4>Total Energy Saved</h4><h2>{total_e_saved:.2f} Wh</h2><p>({total_e_saved/10:.1f} bulb hours)</p></div>
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
| 74 |
</div>
|
| 75 |
|
| 76 |
+
<h3 style="margin-top: 30px; color: #38bdf8;">📊 Your Eco-Audit Log</h3>
|
| 77 |
+
<div style="overflow-x:auto;">
|
| 78 |
+
<table style="width: 100%; border-collapse: collapse; background: rgba(0,0,0,0.3); border-radius: 10px;">
|
| 79 |
+
<tr style="background: rgba(255,255,255,0.1); text-align: left;">
|
| 80 |
+
<th style="padding: 10px;">Query</th><th style="padding: 10px;">LLM Cost</th><th style="padding: 10px;">Greener Tool</th><th style="padding: 10px;">Savings</th>
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 81 |
</tr>
|
| 82 |
{rows}
|
| 83 |
</table>
|
|
|
|
| 85 |
</div>
|
| 86 |
"""
|
| 87 |
|
| 88 |
+
# ... [The custom_css should include .pyro animations for the 'blast' effect] ...
|
| 89 |
+
|
| 90 |
def process_query(user_input, selected_model, state):
|
| 91 |
if state["game_over"] or not user_input.strip():
|
| 92 |
+
return [state] + [gr.update()]*13 + [gr.update(visible=True), gr.update(visible=False), gr.update()]
|
| 93 |
|
| 94 |
result = classifier(user_input, CATEGORIES)
|
| 95 |
category = result['labels'][0]
|
| 96 |
confidence = result['scores'][0]
|
|
|
|
| 97 |
impact = calculate_impact(category, confidence, user_input, selected_model)
|
| 98 |
|
| 99 |
+
# Update State [cite: 12, 37]
|
| 100 |
state["queries"] += 1
|
| 101 |
state["water"] = max(0, state["water"] - impact["water_l"])
|
| 102 |
state["energy"] += impact["energy_kwh"]
|
| 103 |
state["co2"] += impact["co2_g"]
|
| 104 |
|
| 105 |
+
# Handle Dialogue and Alternatives [cite: 6, 16]
|
| 106 |
+
show_alts = category != "complex research query"
|
| 107 |
+
if not show_alts: state["points"] += 50
|
| 108 |
+
|
| 109 |
+
dialogue = get_dialogue(state["water"], category)
|
| 110 |
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
| 111 |
state["history"].append({
|
| 112 |
+
"query": user_input, "water_ml": impact["water_ml"], "energy_wh": impact["energy_wh"],
|
| 113 |
+
"co2_g": impact["co2_g"], "alt_name": ALTERNATIVES[category][0]['text'] if show_alts else "None"
|
|
|
|
|
|
|
|
|
|
| 114 |
})
|
| 115 |
|
| 116 |
+
# Return elements and clear user_input [cite: 40]
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 117 |
if state["points"] >= 500 or state["water"] <= 0:
|
| 118 |
state["game_over"] = True
|
| 119 |
+
return (state, gr.update(), gr.update(), gr.update(), gr.update(), gr.update(), gr.update(),
|
| 120 |
+
gr.update(), gr.update(), gr.update(), gr.update(), gr.update(value=""),
|
| 121 |
+
gr.update(visible=False), gr.update(visible=True), generate_victory_dashboard(state))
|
| 122 |
+
|
| 123 |
+
# General return with input field reset
|
| 124 |
+
return (state, get_stats_html(state["water"], state["energy"], state["co2"], state["points"]),
|
| 125 |
+
get_drip_visuals(state["water"]), generate_audio(dialogue), get_impact_cards(impact, category),
|
| 126 |
+
f"### {category.upper()}\n{dialogue}", gr.update(visible=show_alts),
|
| 127 |
+
gr.update(), gr.update(), gr.update(), gr.update(), gr.update(value=""),
|
| 128 |
+
gr.update(visible=True), gr.update(visible=False), gr.update())
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|
game_data.py
CHANGED
|
@@ -1,4 +1,4 @@
|
|
| 1 |
-
# Model Baselines (per 1000 tokens)
|
| 2 |
MODELS = {
|
| 3 |
"Mistral Large 3": {"energy_wh": 1.98, "water_ml": 3.56, "co2_g": 0.95},
|
| 4 |
"Mistral Medium 3": {"energy_wh": 6.76, "water_ml": 12.17, "co2_g": 3.24},
|
|
@@ -10,7 +10,6 @@ MODELS = {
|
|
| 10 |
"GPT-5.4": {"energy_wh": 169.05, "water_ml": 304.29, "co2_g": 81.14}
|
| 11 |
}
|
| 12 |
|
| 13 |
-
# Category Token Multipliers
|
| 14 |
CATEGORY_MULTIPLIERS = {
|
| 15 |
"simple factual question": 0.05,
|
| 16 |
"mathematical calculation": 0.10,
|
|
@@ -22,31 +21,18 @@ def calculate_impact(category, confidence_score, query_text, model_name):
|
|
| 22 |
model_cost = MODELS.get(model_name, MODELS["Mistral Large 3"])
|
| 23 |
cat_mult = CATEGORY_MULTIPLIERS.get(category, 0.05)
|
| 24 |
|
| 25 |
-
|
| 26 |
-
|
| 27 |
-
elif 0.5 <= confidence_score <= 0.8:
|
| 28 |
-
conf_mult = 1.2
|
| 29 |
-
else:
|
| 30 |
-
conf_mult = 1.5
|
| 31 |
-
|
| 32 |
word_count = len(query_text.split())
|
| 33 |
-
if word_count < 20
|
| 34 |
-
|
| 35 |
-
elif 20 <= word_count <= 50:
|
| 36 |
-
len_factor = 1.3
|
| 37 |
-
else:
|
| 38 |
-
len_factor = 1.5
|
| 39 |
-
|
| 40 |
water_ml = model_cost["water_ml"] * cat_mult * conf_mult * len_factor
|
| 41 |
energy_wh = model_cost["energy_wh"] * cat_mult * conf_mult * len_factor
|
| 42 |
co2_g = model_cost["co2_g"] * cat_mult * conf_mult * len_factor
|
| 43 |
|
| 44 |
-
water_l = water_ml / 1000.0
|
| 45 |
-
energy_kwh = energy_wh / 1000.0
|
| 46 |
-
|
| 47 |
return {
|
| 48 |
-
"water_l":
|
| 49 |
-
"energy_kwh":
|
| 50 |
"water_ml": round(water_ml, 1),
|
| 51 |
"energy_wh": round(energy_wh, 2),
|
| 52 |
"co2_g": round(co2_g, 2)
|
|
|
|
| 1 |
+
# Model Baselines (per 1000 tokens) based on scaling laws [cite: 26, 27]
|
| 2 |
MODELS = {
|
| 3 |
"Mistral Large 3": {"energy_wh": 1.98, "water_ml": 3.56, "co2_g": 0.95},
|
| 4 |
"Mistral Medium 3": {"energy_wh": 6.76, "water_ml": 12.17, "co2_g": 3.24},
|
|
|
|
| 10 |
"GPT-5.4": {"energy_wh": 169.05, "water_ml": 304.29, "co2_g": 81.14}
|
| 11 |
}
|
| 12 |
|
|
|
|
| 13 |
CATEGORY_MULTIPLIERS = {
|
| 14 |
"simple factual question": 0.05,
|
| 15 |
"mathematical calculation": 0.10,
|
|
|
|
| 21 |
model_cost = MODELS.get(model_name, MODELS["Mistral Large 3"])
|
| 22 |
cat_mult = CATEGORY_MULTIPLIERS.get(category, 0.05)
|
| 23 |
|
| 24 |
+
# Logic for buffers and length factors [cite: 25, 29]
|
| 25 |
+
conf_mult = 1.0 if confidence_score > 0.8 else (1.2 if confidence_score > 0.5 else 1.5)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 26 |
word_count = len(query_text.split())
|
| 27 |
+
len_factor = 1.0 if word_count < 20 else (1.3 if word_count <= 50 else 1.5)
|
| 28 |
+
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 29 |
water_ml = model_cost["water_ml"] * cat_mult * conf_mult * len_factor
|
| 30 |
energy_wh = model_cost["energy_wh"] * cat_mult * conf_mult * len_factor
|
| 31 |
co2_g = model_cost["co2_g"] * cat_mult * conf_mult * len_factor
|
| 32 |
|
|
|
|
|
|
|
|
|
|
| 33 |
return {
|
| 34 |
+
"water_l": water_ml / 1000.0,
|
| 35 |
+
"energy_kwh": energy_wh / 1000.0,
|
| 36 |
"water_ml": round(water_ml, 1),
|
| 37 |
"energy_wh": round(energy_wh, 2),
|
| 38 |
"co2_g": round(co2_g, 2)
|