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Update app.py
Browse files
app.py
CHANGED
@@ -24,8 +24,8 @@ acc_models_data = [
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{"Model": "βοΈ ACC AGI V-O2", "Category": "AGI", "Description": "The next-gen foundation for AI advancements.", "Score": 90},
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{"Model": "βοΈ ACC-O3-R", "Category": "AGI", "Description": "Deep reasoning AI framework.", "Score": 92},
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{"Model": "π» Coder", "Category": "Core", "Description": "An AI coding assistant.", "Score": 89},
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{"Model": "β‘ Triple LLM", "Category": "Core", "Description": "A 3-in-1 AI suite for tech, creativity, and decision-making.", "Score":
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{"Model": "πΌοΈ Image Engine", "Category": "Fun", "Description": "Fast, high-quality AI-generated images.", "Score":
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{"Model": "π§ Prism", "Category": "AGI", "Description": "An advanced reasoning model.", "Score": 87},
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{"Model": "π₯ Surefire", "Category": "Emulect", "Description": "Tailored AI for humor and user tendencies.", "Score": 88},
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{"Model": "β―οΈ Aegis & Nyra", "Category": "Emulect", "Description": "Two opposite systems in one chat.", "Score": 77},
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@@ -68,7 +68,7 @@ def generate_score_chart_ai(dataframe):
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dataframe[dataframe["Category"] == "AGI"].sort_values(by="Score", ascending=True),
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x="Score", y="Model", orientation="h",
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color="Score", text="Score",
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title="
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color_continuous_scale="electric"
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)
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fig.update_traces(textposition="outside")
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@@ -80,7 +80,7 @@ def generate_score_chart_assistant_ai(dataframe):
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dataframe[dataframe["Category"] == "Assistant"].sort_values(by="Score", ascending=True),
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x="Score", y="Model", orientation="h",
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color="Score", text="Score",
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title="
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color_continuous_scale="electric"
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)
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fig.update_traces(textposition="outside")
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@@ -92,7 +92,7 @@ def generate_score_chart_fun_ai(dataframe):
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dataframe[dataframe["Category"] == "Fun"].sort_values(by="Score", ascending=True),
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x="Score", y="Model", orientation="h",
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color="Score", text="Score",
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title="
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color_continuous_scale="electric"
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)
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fig.update_traces(textposition="outside")
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@@ -198,8 +198,8 @@ with demo:
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leaderboard = init_acc_leaderboard(acc_models_df)
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leaderboard_display = gr.Dataframe(value=acc_models_df, interactive=False, label="π₯ Live Scores")
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score_chart_ai = gr.Plot(generate_score_chart_ai(acc_models_df))
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score_chart_assistant_ai = gr.Plot(
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score_chart_fun_ai = gr.Plot(
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score_chart_laser = gr.Plot(generate_score_chart_laser(acc_models_df))
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gr.HTML("<h3>π¨ AI Models</h3>")
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gr.HTML("<h3>β‘ Laser Models</h3>")
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{"Model": "βοΈ ACC AGI V-O2", "Category": "AGI", "Description": "The next-gen foundation for AI advancements.", "Score": 90},
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{"Model": "βοΈ ACC-O3-R", "Category": "AGI", "Description": "Deep reasoning AI framework.", "Score": 92},
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{"Model": "π» Coder", "Category": "Core", "Description": "An AI coding assistant.", "Score": 89},
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{"Model": "β‘ Triple LLM", "Category": "Core", "Description": "A 3-in-1 AI suite for tech, creativity, and decision-making.", "Score": 71},
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{"Model": "πΌοΈ Image Engine", "Category": "Fun", "Description": "Fast, high-quality AI-generated images.", "Score": 82},
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{"Model": "π§ Prism", "Category": "AGI", "Description": "An advanced reasoning model.", "Score": 87},
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{"Model": "π₯ Surefire", "Category": "Emulect", "Description": "Tailored AI for humor and user tendencies.", "Score": 88},
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{"Model": "β―οΈ Aegis & Nyra", "Category": "Emulect", "Description": "Two opposite systems in one chat.", "Score": 77},
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dataframe[dataframe["Category"] == "AGI"].sort_values(by="Score", ascending=True),
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x="Score", y="Model", orientation="h",
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color="Score", text="Score",
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title="π§ AI Model Performance(AGI)",
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color_continuous_scale="electric"
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)
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fig.update_traces(textposition="outside")
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dataframe[dataframe["Category"] == "Assistant"].sort_values(by="Score", ascending=True),
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x="Score", y="Model", orientation="h",
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color="Score", text="Score",
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title="π€ AI Model Performance(Assistant)",
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color_continuous_scale="electric"
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)
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fig.update_traces(textposition="outside")
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dataframe[dataframe["Category"] == "Fun"].sort_values(by="Score", ascending=True),
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x="Score", y="Model", orientation="h",
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color="Score", text="Score",
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title="π€‘ AI Model Performance(Fun)",
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color_continuous_scale="electric"
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)
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fig.update_traces(textposition="outside")
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leaderboard = init_acc_leaderboard(acc_models_df)
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leaderboard_display = gr.Dataframe(value=acc_models_df, interactive=False, label="π₯ Live Scores")
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score_chart_ai = gr.Plot(generate_score_chart_ai(acc_models_df))
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score_chart_assistant_ai = gr.Plot(generate_score_chart_assistant_ai(acc_models_df))
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score_chart_fun_ai = gr.Plot(generate_score_chart_fun_ai(acc_models_df))
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score_chart_laser = gr.Plot(generate_score_chart_laser(acc_models_df))
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gr.HTML("<h3>π¨ AI Models</h3>")
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gr.HTML("<h3>β‘ Laser Models</h3>")
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