[Ref, Add] change default models, remove sorting in plot

app.py

@@ -19,7 +19,6 @@ def create_heatmap(selected_models, selected_dataset, selected_metric):
         return None
     
     # Sort models and get short names
-    selected_models = sorted(selected_models)
     similarities = load_data_and_compute_similarities(selected_models, selected_dataset, selected_metric)
 
     # Check if similarity matrix contains NaN rows
@@ -72,7 +71,7 @@ def validate_inputs(selected_models, selected_dataset):
 def update_datasets_based_on_models(selected_models, current_dataset):
     try:
         available_datasets = get_leaderboard_datasets(selected_models) if selected_models else []
-        valid_dataset = current_dataset if current_dataset in available_datasets else None
+        valid_dataset = current_dataset if current_dataset in available_datasets else "mmlu_pro"
         return gr.update(
             choices=available_datasets,
             value=valid_dataset
@@ -94,7 +93,7 @@ links_markdown = """
 [🤗 Data](https://huggingface.co/datasets/bethgelab/lm-similarity)
 """
 
-model_init = ["HuggingFaceTB/SmolLM2-1.7B-Instruct", "tiiuae/Falcon3-7B-Instruct", "google/gemma-2-27b-it", "Qwen/Qwen2.5-72B-Instruct"]
+model_init = ["HuggingFaceTB/SmolLM2-1.7B-Instruct", "meta-llama/Llama-3.1-8B-Instruct", "microsoft/phi4", "google/gemma-2-27b-it", "Qwen/Qwen2.5-32B-Instruct", "meta-llama/Llama-3.1-8B-Instruct"]
 
 # Create Gradio interface
 with gr.Blocks(title="LLM Similarity Analyzer") as demo: