Auto-sync from demo at Thu Sep 11 02:27:07 UTC 2025

app.py

@@ -37,10 +37,10 @@ css = """
 def init_graph_gen(config: dict, env: dict) -> GraphGen:
     # Set up working directory
     log_file, working_dir = setup_workspace(os.path.join(root_dir, "cache"))
-
     set_logger(log_file, if_stream=True)
-    graph_gen = GraphGen(working_dir=working_dir, config=config)
+    os.environ.update({k: str(v) for k, v in env.items()})
 
+    graph_gen = GraphGen(working_dir=working_dir, config=config)
     # Set up LLM clients
     graph_gen.synthesizer_llm_client = OpenAIModel(
         model_name=env.get("SYNTHESIZER_MODEL", ""),

graphgen/graphgen.py

@@ -69,7 +69,6 @@ class GraphGen:
         self.tokenizer_instance: Tokenizer = Tokenizer(
             model_name=self.config["tokenizer"]
         )
-        print(os.getenv("SYNTHESIZER_MODEL"), os.getenv("SYNTHESIZER_API_KEY"))
         self.synthesizer_llm_client: OpenAIModel = OpenAIModel(
             model_name=os.getenv("SYNTHESIZER_MODEL"),
             api_key=os.getenv("SYNTHESIZER_API_KEY"),

webui/app.py

@@ -37,10 +37,10 @@ css = """
 def init_graph_gen(config: dict, env: dict) -> GraphGen:
     # Set up working directory
     log_file, working_dir = setup_workspace(os.path.join(root_dir, "cache"))
-
     set_logger(log_file, if_stream=True)
-    graph_gen = GraphGen(working_dir=working_dir, config=config)
+    os.environ.update({k: str(v) for k, v in env.items()})
 
+    graph_gen = GraphGen(working_dir=working_dir, config=config)
     # Set up LLM clients
     graph_gen.synthesizer_llm_client = OpenAIModel(
         model_name=env.get("SYNTHESIZER_MODEL", ""),