Update model selection for HF Spaces to use Large model and add local settings configuration

app.py

@@ -246,9 +246,7 @@ def score_and_create_matrix_all_singles(sequence,mutation_range_start=None,mutat
     model_path = download_model_from_hf("Tranception_Medium")
     model = tranception.model_pytorch.TranceptionLMHeadModel.from_pretrained(pretrained_model_name_or_path=model_path)
   elif model_type=="Large":
-    # For HF Spaces, we recommend using Medium model due to memory constraints
-    print("Note: Large model requires significant memory. Using Medium model for HF Spaces deployment.")
-    model_path = download_model_from_hf("Tranception_Medium")
+    model_path = download_model_from_hf("Tranception_Large")
     model = tranception.model_pytorch.TranceptionLMHeadModel.from_pretrained(pretrained_model_name_or_path=model_path)
   
   # Device selection - for HF Spaces, typically CPU