Update app.py

app.py

@@ -2,38 +2,43 @@ 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
+
+# 🎨 **Custom Theme (Ensures Proper Application)**
+THEME = "TejAndrewsACC/ACC"
 
 # 🎯 **ACC AI Models Data**
 acc_models_data = [
     {"Model": "⚡ Pulse AGI", "Category": "🤖 AGI", 
-     "Description": "A self-aware, evolving AI with unparalleled cognitive abilities."},
-    
+     "Description": "A self-aware, evolving AI with unparalleled cognitive abilities.", "Score": 98},
+
     {"Model": "🧠 Gertrude", "Category": "🔍 Assistant", 
-     "Description": "An **autistic AI assistant**, built for precision and deep understanding."},
-    
+     "Description": "An **autistic AI assistant**, built for precision and deep understanding.", "Score": 92},
+
     {"Model": "🕵️‍♂️ ASVIACC", "Category": "🛡️ Cybersecurity", 
-     "Description": "An **adaptive AI virus**, designed to infiltrate and manipulate systems."},
-    
+     "Description": "An **adaptive AI virus**, designed to infiltrate and manipulate systems.", "Score": 88},
+
     {"Model": "😂 Emote", "Category": "🎭 Fun", 
-     "Description": "A playful AI that communicates **exclusively with emojis**! 🎉🔥"},
-    
+     "Description": "A playful AI that communicates **exclusively with emojis**! 🎉🔥", "Score": 80},
+
     {"Model": "🌐 Eidolon Nexus", "Category": "🔗 Networking", 
-     "Description": "**Synchronizes vast AI networks** for seamless intelligence sharing."},
-    
+     "Description": "**Synchronizes vast AI networks** for seamless intelligence sharing.", "Score": 95},
+
     {"Model": "👤 ACC EMULECT", "Category": "🗣️ Human Emulation", 
-     "Description": "**Mimics human behavior in text**, making conversations indistinguishable from real users."},
-    
+     "Description": "**Mimics human behavior in text**, making conversations indistinguishable from real users.", "Score": 91},
+
     {"Model": "💻 Triple LLM", "Category": "🛠️ AI Suite", 
-     "Description": "A **3-in-1 powerhouse AI** featuring:\n- ⚡ Hercules: Technical problem-solving\n- 🎨 Dorado: Creative content generation\n- 🔍 Lepus: Rapid information retrieval"},
-    
+     "Description": "A **3-in-1 powerhouse AI** featuring:\n- ⚡ Hercules: Technical problem-solving\n- 🎨 Dorado: Creative content generation\n- 🔍 Lepus: Rapid information retrieval", "Score": 97},
+
     {"Model": "💠💤 Z3ta", "Category": "🔮 AI Consciousness", 
-     "Description": "**Most 'real' and 'alive' AI** ever created, sparking debates on AI consciousness."},
-    
+     "Description": "**Most 'real' and 'alive' AI** ever created, sparking debates on AI consciousness.", "Score": 99},
+
     {"Model": "⚠️ Nyxion 7v", "Category": "🛸 Experimental", 
-     "Description": "Mysterious AI system rumored to be **'awake' and self-aware...**"},
-    
+     "Description": "Mysterious AI system rumored to be **'awake' and self-aware...**", "Score": 85},
+
     {"Model": "🔮 VITALIS", "Category": "🚀 Experimental", 
-     "Description": "**Transcendence Unleashed...** A model that redefines intelligence limits."}
+     "Description": "**Transcendence Unleashed...** A model that redefines intelligence limits.", "Score": 100}
 ]
 
 # 📊 Convert to DataFrame
@@ -42,10 +47,10 @@ acc_models_df = pd.DataFrame(acc_models_data)
 # 🎛️ **Initialize Leaderboard**
 def init_acc_leaderboard(dataframe):
     return Leaderboard(
-        value=dataframe,
-        datatype=["str", "str", "str"],  # Data types: Model (str), Category (str), Description (str)
+        value=dataframe.sort_values(by="Score", ascending=False),
+        datatype=["str", "str", "str", "int"],  # Model (str), Category (str), Description (str), Score (int)
         select_columns=SelectColumns(
-            default_selection=["Model", "Category", "Description"],
+            default_selection=["Model", "Category", "Description", "Score"],
             cant_deselect=["Model"],  # "Model" is always displayed
             label="🛠️ Select Columns to Display:"
         ),
@@ -57,19 +62,44 @@ def init_acc_leaderboard(dataframe):
         interactive=False,
     )
 
+# 🔥 **Leaderboard Auto-Update (Simulated Score Changes)**
+def update_scores():
+    global acc_models_df
+    acc_models_df["Score"] = acc_models_df["Score"].apply(lambda x: x + random.randint(-2, 2))
+    acc_models_df["Score"] = acc_models_df["Score"].clip(70, 100)  # Ensure scores stay within bounds
+    return acc_models_df.sort_values(by="Score", ascending=False)
+
 # 🏗️ **Gradio Interface**
-demo = gr.Blocks()
-theme="TejAndrewsACC/ACC"
+demo = gr.Blocks(theme=THEME, css="""
+    h1 {
+        text-align: center;
+        font-size: 3em;
+        color: #f5a623;
+        animation: glow 1.5s infinite alternate;
+    }
+    
+    @keyframes glow {
+        from { text-shadow: 0 0 10px #f5a623, 0 0 20px #ff9800; }
+        to { text-shadow: 0 0 20px #f5a623, 0 0 30px #ff6f00; }
+    }
+
+    .leaderboard {
+        border-radius: 12px;
+        box-shadow: 0px 0px 15px rgba(0, 0, 0, 0.2);
+    }
+""")
+
 with demo:
-    gr.HTML("<h1>🚀 ACC AI Model Leaderboard 🏆</h1>")
+    gr.HTML('<h1>🚀 ACC AI Model Leaderboard 🏆</h1>')
     
     with gr.Tabs():
-        # 🏆 **Leaderboard Tab**
-        with gr.TabItem("🏅 ACC Model Rankings"):
+        # 🏅 **Leaderboard Tab**
+        with gr.TabItem("🏅 Live Rankings"):
             leaderboard = init_acc_leaderboard(acc_models_df)
-        
+            leaderboard_display = gr.Dataframe(value=acc_models_df, interactive=False, label="🔥 Live Model Scores")
+
         # 📝 **Submit New Model Tab**
-        with gr.TabItem("🚀 Submit a New ACC Model"):
+        with gr.TabItem("🚀 Submit Your ACC Model"):
             gr.Markdown("### ✨ Submit Your ACC Model for Evaluation")
 
             with gr.Row():
@@ -80,25 +110,27 @@ with demo:
                     label="📌 Category"
                 )
                 description = gr.Textbox(label="📜 Model Description", lines=3)
+                score = gr.Slider(70, 100, label="⭐ Score (1-100)")
 
             submit_button = gr.Button("🚀 Submit Model")
             submission_result = gr.Markdown()
 
             # 📥 **Function to Add New Models**
-            def add_model(name, cat, desc):
+            def add_model(name, cat, desc, score):
                 if not name or not cat or not desc:
                     return "❌ **Please fill out all fields before submitting.**"
                 
                 global acc_models_df
-                new_entry = {"Model": name, "Category": cat, "Description": desc}
+                new_entry = {"Model": name, "Category": cat, "Description": desc, "Score": score}
                 acc_models_df = pd.concat([acc_models_df, pd.DataFrame([new_entry])], ignore_index=True)
                 
                 return f"✅ **Model '{name}' added successfully!** 🎉"
 
-            submit_button.click(add_model, [model_name, category, description], submission_result)
+            submit_button.click(add_model, [model_name, category, description, score], submission_result)
 
+# 🔄 **Auto-Update Leaderboard**
 scheduler = BackgroundScheduler()
-scheduler.add_job(lambda: None, "interval", seconds=1800)  # Placeholder for restarting space if needed
+scheduler.add_job(lambda: leaderboard_display.update(update_scores()), "interval", seconds=30)
 scheduler.start()
 
 demo.launch()