fix

config.json

@@ -2,12 +2,12 @@
     "role_llm_name": "gpt-4o-mini",
     "world_llm_name": "gpt-4o-mini",
     "embedding_model_name":"bge-m3",
-    "preset_path":"./experiment_presets/experiment_icefire.json",
+    "preset_path":"./experiment_presets/example_free.json",
     "if_save": 0,
     "scene_mode": 1,
     "rounds": 10,
     "save_dir": "",
-    "mode": "script",
+    "mode": "free",
 
     "OPENAI_API_KEY":"",
     "GEMINI_API_KEY":"",

experiment_presets/example_script.json

@@ -7,7 +7,7 @@
     "role_agent_codes":["Lacia-en","Trek-en"],
     "intervention":"",
     "script":"",
-    "source":"Example",
+    "source":"example_world",
     "language":"en"
 
 }

modules/memory.py

@@ -17,7 +17,7 @@ def build_role_agent_memory(type = "ga",**kwargs):
         embedding_name = kwargs["embedding_name"]
         db_name = kwargs["db_name"]
         language = kwargs["language"] if "language" in kwargs else ""
-        embedding_model = HuggingFaceEmbeddings(model_name=get_embedding_model_path(embedding_name,language))
+        embedding_model = get_embedding_model(embedding_name, language=language)
         index = faiss.IndexFlatL2(len(embedding_model.embed_query("hello world")))
         vectorstore = FAISS(
             embedding_function=embedding_model,