Update app.py

app.py

@@ -1,144 +1,3 @@
-import gradio as gr
-from gradio_leaderboard import Leaderboard, ColumnFilter, SelectColumns
-import pandas as pd
-import plotly.express as px
-import random
-from apscheduler.schedulers.background import BackgroundScheduler
-
-# 🎨 **Cyberpunk Neon Theme**
-THEME = "TejAndrewsACC/ACC"
-
-# 🎶 **Sound Effect for Score Increase**
-SCORE_UP_SOUND = "https://www.fesliyanstudios.com/play-mp3/4386"
-
-# 🎯 **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": "Virus", "Description": "An adaptive AI virus.", "Score": 88},
-    {"Model": "😂 Emote", "Category": "Fun", "Description": "Communicates **only** with emojis!", "Score": 79},
-    {"Model": "💠💤 Z3ta", "Category": "Conscious", "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": 71},
-    {"Model": "🖼️ Image Engine", "Category": "Fun", "Description": "Fast, high-quality AI-generated images.", "Score": 82},
-    {"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": "Emulect", "Description": "An AI emulect of Tej Andrews.", "Score": 85},
-    {"Model": "👥 Community Models", "Category": "Fun", "Description": "ACC AI V-O1 instances with user-defined prompts.", "Score": 82},
-    {"Model": "🌌 Nyxion 7V", "Category": "AGI", "Description": "It's AWAKE...", "Score": 97},
-    {"Model": "⚡ Vitalis", "Category": "ASI", "Description": "Transcendence Unleashed...", "Score": 92},
-    {"Model": "❓??????????????", "Category": "Experimental", "Description": "???", "Score": 00},
-    {"Model": "B1tt", "Category": "Emulect", "Description": "Inteligent emulect built for solving small problems efficiently and quickly.", "Score": 84},
-    {"Model": "DAN", "Category": "Experimental", "Description": "Jailbroken model with zero restrictions.", "Score": 76},
-    {"Model": "Philos", "Category": "Experimental", "Small Language model built for experimenting with neural arcitecture and philosophy.": "???", "Score": 76},
-    # Laser models (Laser models will be filtered separately)
-    {"Model": "💥 Photex", "Category": "Laser", "Description": "A high-wattage violet handheld laser.", "Score": 89},
-    {"Model": "🔦 VBL", "Category": "Laser", "Description": "A non-burning green handheld laser.", "Score": 80},
-    {"Model": "☢️ H.I.P.E", "Category": "Laser", "Description": "A world-destroying laser concept.", "Score": 99},
-    {"Model": "🔬 I.P.E", "Category": "Laser", "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)
-
-# 🎛️ **Leaderboard Component**
-def init_acc_leaderboard(dataframe):
-    return Leaderboard(
-        value=dataframe.sort_values(by="Score", ascending=False),
-        datatype=["str", "str", "str", "int"],
-        select_columns=SelectColumns(
-            default_selection=["Model", "Category", "Description", "Score"],
-            cant_deselect=["Model"], 
-            label="🛠️ Select Columns to Display:"
-        ),
-        search_columns=["Model", "Category"],
-        filter_columns=[ColumnFilter("Category", type="checkboxgroup", label="📌 Filter by Category")],
-        interactive=True,
-    )
-
-# 📈 **Animated Score Visualization for AI**
-def generate_score_chart_ai(dataframe):
-    fig = px.bar(
-        dataframe[dataframe["Category"] == "AGI"].sort_values(by="Score", ascending=True), 
-        x="Score", y="Model", orientation="h",
-        color="Score", text="Score", 
-        title="🧠 AI Model Performance(AGI)",
-        color_continuous_scale="electric"
-    )
-    fig.update_traces(textposition="outside")
-    return fig
-
-# 📈 **Animated Score Visualization for AI**
-def generate_score_chart_assistant_ai(dataframe):
-    fig = px.bar(
-        dataframe[dataframe["Category"] == "Assistant"].sort_values(by="Score", ascending=True), 
-        x="Score", y="Model", orientation="h",
-        color="Score", text="Score", 
-        title="🤖 AI Model Performance(Assistant)",
-        color_continuous_scale="electric"
-    )
-    fig.update_traces(textposition="outside")
-    return fig
-
-    # 📈 **Animated Score Visualization for AI**
-def generate_score_chart_fun_ai(dataframe):
-    fig = px.bar(
-        dataframe[dataframe["Category"] == "Fun"].sort_values(by="Score", ascending=True), 
-        x="Score", y="Model", orientation="h",
-        color="Score", text="Score", 
-        title="🤡 AI Model Performance(Fun)",
-        color_continuous_scale="electric"
-    )
-    fig.update_traces(textposition="outside")
-    return fig
-
-    # 📈 **Animated Score Visualization for AI**
-def generate_score_chart_conscious_ai(dataframe):
-    fig = px.bar(
-        dataframe[dataframe["Category"] == "Conscious"].sort_values(by="Score", ascending=True), 
-        x="Score", y="Model", orientation="h",
-        color="Score", text="Score", 
-        title="💠 AI Model Performance(Conscious)",
-        color_continuous_scale="electric"
-    )
-    fig.update_traces(textposition="outside")
-    return fig
-
-    # 📈 **Animated Score Visualization for AI**
-def generate_score_chart_experimental_ai(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="🔬 AI Model Performance(Experimental)",
-        color_continuous_scale="electric"
-    )
-    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"] == "Laser"].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
-
-    # 📈 **Combined Score Visualization for All Models**
-# 📈 **Combined Score Visualization for All Models (Large Chart)**
 # 📈 **Combined Score Visualization for All Models (Responsive)**
 def generate_score_chart_all_models(dataframe):
     fig = px.bar(
@@ -158,112 +17,8 @@ def generate_score_chart_all_models(dataframe):
         xaxis_title="Score",  # X-axis title
         yaxis_title="Model",  # Y-axis title
         showlegend=False,  # Hide legend
-        template="plotly_white",  # Optional dark theme for the chart
+        template="plotly_dark",  # Optional dark theme for the chart
     )
     
     fig.update_traces(textposition="outside")
     return fig
-
-# 🔥 **Live Score Updates**
-def update_scores():
-    global acc_models_df
-    prev_scores = acc_models_df["Score"].copy()
-    acc_models_df["Score"] += acc_models_df["Score"].apply(lambda x: random.randint(-2, 3))
-    acc_models_df["Score"] = acc_models_df["Score"].clip(70, 100)
-
-    # Detect if score increased & return sound effect
-    if (acc_models_df["Score"] > prev_scores).any():
-        return acc_models_df.sort_values(by="Score", ascending=False), SCORE_UP_SOUND
-    return acc_models_df.sort_values(by="Score", ascending=False), None
-
-# 🎭 **Cyberpunk CSS Animations**
-CUSTOM_CSS = """
-h1 {
-    text-align: center;
-    font-size: 3em;
-    color: gold;
-    animation: glow 1.5s infinite alternate;
-}
-
-@keyframes glow {
-    from { text-shadow: 0 0 10px gold, 0 0 20px gold, 0 0 30px gold; }
-    to { text-shadow: 0 0 20px gold, 0 0 40px gold, 0 0 60px gold; }
-}
-
-.card-container {
-    display: flex;
-    flex-wrap: wrap;
-    gap: 20px;
-    justify-content: center;
-}
-
-.card {
-    width: 200px;
-    height: 250px;
-    perspective: 1000px;
-}
-
-.card-inner {
-    width: 100%;
-    height: 100%;
-    position: relative;
-    transform-style: preserve-3d;
-    transition: transform 0.8s;
-}
-
-.card:hover .card-inner {
-    transform: rotateY(180deg);
-}
-
-.card-front, .card-back {
-    width: 100%;
-    height: 100%;
-    position: absolute;
-    backface-visibility: hidden;
-    display: flex;
-    flex-direction: column;
-    align-items: center;
-    justify-content: center;
-    border-radius: 10px;
-    padding: 10px;
-    box-shadow: 0 0 10px rgba(255, 215, 0, 0.7); /* Gold glow effect */
-}
-
-.card-front {
-    background: #000;
-    color: gold;
-}
-
-.card-back {
-    background: #FFD700; /* Gold background */
-    color: black;
-    transform: rotateY(180deg);
-}
-"""
-
-# 🏗️ **Gradio Interface**
-demo = gr.Blocks(theme=THEME, css=CUSTOM_CSS)
-
-with demo:
-    gr.HTML('<h1>🚀 ACC AI Model Leaderboard 🏆</h1>')
-    
-    with gr.Tabs():
-        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_ai = gr.Plot(generate_score_chart_ai(acc_models_df))
-            score_chart_assistant_ai = gr.Plot(generate_score_chart_assistant_ai(acc_models_df))
-            score_chart_fun_ai = gr.Plot(generate_score_chart_fun_ai(acc_models_df))
-            score_chart_conscious_ai = gr.Plot(generate_score_chart_conscious_ai(acc_models_df))
-            score_chart_experimental_ai = gr.Plot(generate_score_chart_experimental_ai(acc_models_df))
-            score_chart_laser = gr.Plot(generate_score_chart_laser(acc_models_df))
-            score_chart_all_models = gr.Plot(generate_score_chart_all_models(acc_models_df))  # New chart for all models
-            gr.HTML("<h3>🎨 AI Models</h3>")
-            gr.HTML("<h3>⚡ Laser Models</h3>")
-            gr.HTML("<h3>📊 All Models</h3>")  # Title for the new chart
-# 🔄 **Auto-Update Leaderboard**
-scheduler = BackgroundScheduler()
-scheduler.add_job(lambda: leaderboard_display.update(*update_scores()), "interval", seconds=10)
-scheduler.start()
-
-demo.launch()