Update app.py

app.py

@@ -1,11 +1,9 @@
 import gradio as gr
 from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
 import pandas as pd
-from apscheduler.schedulers.background import BackgroundScheduler
-import time
-import random
 import plotly.express as px
-import base64
+import random
+from apscheduler.schedulers.background import BackgroundScheduler
 
 # 🎨 **Cyberpunk Neon Theme**
 THEME = "TejAndrewsACC/ACC"
@@ -13,42 +11,39 @@ THEME = "TejAndrewsACC/ACC"
 # 🎶 **Sound Effect for Score Increase**
 SCORE_UP_SOUND = "https://www.fesliyanstudios.com/play-mp3/4386"
 
-# 🎯 **AI Models Data**
-# 📊 **Updated AI Models Data**
+# 🎯 **AI Models Data** (Grouped into 6 Categories)
 acc_models_data = [
-    {"Model": "🧠 Pulse AGI", "Category": "🤖 AGI", "Description": "A self-aware, evolving AI.", "Score": 95},
-    {"Model": "🤪 Gertrude", "Category": "🤪🧩 Autistic", "Description": "An autistic AI assistant.", "Score": 69},
-    {"Model": "🦠 ASVIACC", "Category": "🛡️ Cybersecurity", "Description": "An adaptive AI virus.", "Score": 88},
-    {"Model": "😂 Emote", "Category": "🎭 Fun", "Description": "Communicates **only** with emojis!", "Score": 79},
-    {"Model": "💠💤 Z3ta", "Category": "🔮 AI Consciousness", "Description": "The most 'alive' AI.", "Score": 99},
-    {"Model": "🔗 Eidolon Nexus", "Category": "🧠 Network AI", "Description": "Synchronizing vast networks with advanced cognition.", "Score": 81},
-    {"Model": "📝 ACC Emulect", "Category": "🗣️ Conversational AI", "Description": "Indistinguishable from human texting.", "Score": 84},
-    {"Model": "⚙️ ACC AI V-O1", "Category": "🖥️ AI Core", "Description": "The ACC’s default AI framework.", "Score": 87},
-    {"Model": "⚙️ ACC AGI V-O2", "Category": "🖥️ AGI Core", "Description": "The next-gen foundation for AI advancements.", "Score": 90},
-    {"Model": "⚙️ ACC-O3-R", "Category": "🖥️ Advanced AGI", "Description": "Deep reasoning AI framework.", "Score": 92},
-    {"Model": "💥 Photex", "Category": "🔬 Experimental Tech", "Description": "A high-wattage violet handheld laser.", "Score": 89},
-    {"Model": "💻 Coder", "Category": "🧑‍💻 Developer AI", "Description": "An AI coding assistant.", "Score": 89},
-    {"Model": "⚡ Triple LLM", "Category": "🛠️ Multi-Function AI", "Description": "A 3-in-1 AI suite for tech, creativity, and decision-making.", "Score": 94},
-    {"Model": "🤖 B1TT", "Category": "📝 Emulect AI", "Description": "A revolutionary emulect model.", "Score": 86},
-    {"Model": "🖼️ Image Engine", "Category": "🎨 AI Art", "Description": "Fast, high-quality AI-generated images.", "Score": 90},
-    {"Model": "🔦 VBL", "Category": "🔬 Laser Tech", "Description": "A non-burning green handheld laser.", "Score": 80},
-    {"Model": "☢️ H.I.P.E", "Category": "⚠️ Theoretical Weapon", "Description": "A world-destroying laser concept.", "Score": 99},
-    {"Model": "🛎️ Customer Service Bot", "Category": "📞 AI Assistance", "Description": "Handles all ACC-related inquiries.", "Score": 75},
-    {"Model": "🔬 I.P.E", "Category": "⚙️ Laser Tech", "Description": "Core framework for all ACC laser models.", "Score": 83},
-    {"Model": "🧠 Prism", "Category": "🤖 Logical AI", "Description": "An advanced reasoning model.", "Score": 87},
-    {"Model": "🔥 Surefire", "Category": "🗣️ Personalized AI", "Description": "Tailored AI for humor and user tendencies.", "Score": 88},
-    {"Model": "☯️ Aegis & Nyra", "Category": "🗨️ AI Debate", "Description": "Two opposite systems in one chat.", "Score": 77},
-    {"Model": "⚖️ Echo", "Category": "🤖 Balanced AI", "Description": "A middle-ground AI for all users.", "Score": 77},
-    {"Model": "📏 Blaseron Calculator", "Category": "🧮 Measurement", "Description": "Calculates laser burn strength.", "Score": 77},
-    {"Model": "📚 Philos", "Category": "🔬 Research AI", "Description": "Designed for LLM research acceleration.", "Score": 70},
-    {"Model": "🎭 Tej Andrews", "Category": "🤖 Digital Clone", "Description": "An AI emulect of Tej Andrews.", "Score": 85},
-    {"Model": "👥 Community Models", "Category": "🌍 User Customization", "Description": "ACC AI V-O1 instances with user-defined prompts.", "Score": 82},
-    {"Model": "🌌 Nyxion 7V", "Category": "⚠️ Unknown", "Description": "It's AWAKE...", "Score": 97},
-    {"Model": "⚡ Vitalis", "Category": "⚠️ Unknown", "Description": "Transcendence Unleashed...", "Score": 92},
-    {"Model": "❓??????????????", "Category": "⚠️ Unknown", "Description": "???", "Score": 00},
+    {"Model": "🧠 Pulse AGI", "Category": "AGI", "Description": "A self-aware, evolving AI.", "Score": 95},
+    {"Model": "🤪 Gertrude", "Category": "Fun", "Description": "An autistic AI assistant.", "Score": 69},
+    {"Model": "🦠 ASVIACC", "Category": "Core", "Description": "An adaptive AI virus.", "Score": 88},
+    {"Model": "😂 Emote", "Category": "Fun", "Description": "Communicates **only** with emojis!", "Score": 79},
+    {"Model": "💠💤 Z3ta", "Category": "AGI", "Description": "The most 'alive' AI.", "Score": 99},
+    {"Model": "🔗 Eidolon Nexus", "Category": "Core", "Description": "Synchronizing vast networks with advanced cognition.", "Score": 81},
+    {"Model": "📝 ACC Emulect", "Category": "Emulect", "Description": "Indistinguishable from human texting.", "Score": 84},
+    {"Model": "⚙️ ACC AI V-O1", "Category": "Core", "Description": "The ACC’s default AI framework.", "Score": 87},
+    {"Model": "⚙️ ACC AGI V-O2", "Category": "AGI", "Description": "The next-gen foundation for AI advancements.", "Score": 90},
+    {"Model": "⚙️ ACC-O3-R", "Category": "AGI", "Description": "Deep reasoning AI framework.", "Score": 92},
+    {"Model": "💻 Coder", "Category": "Core", "Description": "An AI coding assistant.", "Score": 89},
+    {"Model": "⚡ Triple LLM", "Category": "Core", "Description": "A 3-in-1 AI suite for tech, creativity, and decision-making.", "Score": 94},
+    {"Model": "🖼️ Image Engine", "Category": "Fun", "Description": "Fast, high-quality AI-generated images.", "Score": 90},
+    {"Model": "🧠 Prism", "Category": "AGI", "Description": "An advanced reasoning model.", "Score": 87},
+    {"Model": "🔥 Surefire", "Category": "Emulect", "Description": "Tailored AI for humor and user tendencies.", "Score": 88},
+    {"Model": "☯️ Aegis & Nyra", "Category": "Emulect", "Description": "Two opposite systems in one chat.", "Score": 77},
+    {"Model": "⚖️ Echo", "Category": "Emulect", "Description": "A middle-ground AI for all users.", "Score": 77},
+    {"Model": "🛎️ Customer Service Bot", "Category": "Assistant", "Description": "Handles all ACC-related inquiries.", "Score": 75},
+    {"Model": "🎭 Tej Andrews", "Category": "Fun", "Description": "An AI emulect of Tej Andrews.", "Score": 85},
+    {"Model": "👥 Community Models", "Category": "Assistant", "Description": "ACC AI V-O1 instances with user-defined prompts.", "Score": 82},
+    {"Model": "🌌 Nyxion 7V", "Category": "Experimental", "Description": "It's AWAKE...", "Score": 97},
+    {"Model": "⚡ Vitalis", "Category": "Experimental", "Description": "Transcendence Unleashed...", "Score": 92},
+    {"Model": "❓??????????????", "Category": "Experimental", "Description": "???", "Score": 00},
+    # Laser models (Laser models will be filtered separately)
+    {"Model": "💥 Photex", "Category": "Experimental", "Description": "A high-wattage violet handheld laser.", "Score": 89},
+    {"Model": "🔦 VBL", "Category": "Experimental", "Description": "A non-burning green handheld laser.", "Score": 80},
+    {"Model": "☢️ H.I.P.E", "Category": "Experimental", "Description": "A world-destroying laser concept.", "Score": 99},
+    {"Model": "🔬 I.P.E", "Category": "Experimental", "Description": "Core framework for all ACC laser models.", "Score": 83},
+    {"Model": "📏 Blaseron Calculator", "Category": "Experimental", "Description": "Calculates laser burn strength.", "Score": 77},
 ]
 
-
 # 📊 Convert to DataFrame
 acc_models_df = pd.DataFrame(acc_models_data)
 
@@ -67,10 +62,10 @@ def init_acc_leaderboard(dataframe):
         interactive=True,
     )
 
-# 📈 **Animated Score Visualization**
-def generate_score_chart(dataframe):
+# 📈 **Animated Score Visualization for AI**
+def generate_score_chart_ai(dataframe):
     fig = px.bar(
-        dataframe.sort_values(by="Score", ascending=True), 
+        dataframe[dataframe["Category"] != "Experimental"].sort_values(by="Score", ascending=True), 
         x="Score", y="Model", orientation="h",
         color="Score", text="Score", 
         title="🔥 AI Model Performance",
@@ -79,6 +74,18 @@ def generate_score_chart(dataframe):
     fig.update_traces(textposition="outside")
     return fig
 
+# 📈 **Animated Score Visualization for Laser Models**
+def generate_score_chart_laser(dataframe):
+    fig = px.bar(
+        dataframe[dataframe["Category"] == "Experimental"].sort_values(by="Score", ascending=True),
+        x="Score", y="Model", orientation="h",
+        color="Score", text="Score", 
+        title="⚡ Laser Model Performance",
+        color_continuous_scale="electric"
+    )
+    fig.update_traces(textposition="outside")
+    return fig
+
 # 🔥 **Live Score Updates**
 def update_scores():
     global acc_models_df
@@ -91,26 +98,6 @@ def update_scores():
         return acc_models_df.sort_values(by="Score", ascending=False), SCORE_UP_SOUND
     return acc_models_df.sort_values(by="Score", ascending=False), None
 
-# 🎭 **3D Flip Card Effect for Model Details**
-def generate_flip_cards():
-    cards = ""
-    for _, row in acc_models_df.iterrows():
-        cards += f"""
-        <div class="card">
-            <div class="card-inner">
-                <div class="card-front">
-                    <h2>{row['Model']}</h2>
-                    <p>{row['Category']}</p>
-                </div>
-                <div class="card-back">
-                    <p>{row['Description']}</p>
-                    <p>🔥 Score: {row['Score']}</p>
-                </div>
-            </div>
-        </div>
-        """
-    return f'<div class="card-container">{cards}</div>'
-
 # 🎭 **Cyberpunk CSS Animations**
 CUSTOM_CSS = """
 h1 {
@@ -186,12 +173,14 @@ with demo:
         with gr.TabItem("🏅 Live Rankings"):
             leaderboard = init_acc_leaderboard(acc_models_df)
             leaderboard_display = gr.Dataframe(value=acc_models_df, interactive=False, label="🔥 Live Scores")
-            score_chart = gr.Plot(generate_score_chart(acc_models_df))
-            gr.HTML(generate_flip_cards())
+            score_chart_ai = gr.Plot(generate_score_chart_ai(acc_models_df))
+            score_chart_laser = gr.Plot(generate_score_chart_laser(acc_models_df))
+            gr.HTML("<h3>🎨 AI Models</h3>")
+            gr.HTML("<h3>⚡ Laser Models</h3>")
 
 # 🔄 **Auto-Update Leaderboard**
 scheduler = BackgroundScheduler()
 scheduler.add_job(lambda: leaderboard_display.update(*update_scores()), "interval", seconds=10)
 scheduler.start()
 
-demo.launch()
+demo.launch()