Update app.py

app.py

@@ -41,7 +41,7 @@ acc_models_data = [
     {"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", "Laser": "Experimental", "Description": "Calculates laser burn strength.", "Score": 77},
+    {"Model": "📏 Blaseron Calculator", "Category": "Experimental", "Description": "Calculates laser burn strength.", "Score": 77},
 ]
 
 # 📊 Convert to DataFrame
@@ -68,12 +68,36 @@ def generate_score_chart_ai(dataframe):
         dataframe[dataframe["Category"] != "AGI"].sort_values(by="Score", ascending=True), 
         x="Score", y="Model", orientation="h",
         color="Score", text="Score", 
-        title="🔥 AI Model Performance",
+        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 Laser Models**
 def generate_score_chart_laser(dataframe):
     fig = px.bar(
@@ -174,6 +198,8 @@ with demo:
             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_ai(acc_models_df))
+            score_chart_fun_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>")