relax token reqs

app.py

@@ -131,7 +131,7 @@ def sliding_window_prediction(template, text, model, tokenizer, window_size=4000
 
 # Load the model and tokenizer
 model_name = "numind/NuExtract-v1.5"
-auth_token = os.environ.get("HF_TOKEN") or True
+auth_token = os.environ.get("HF_TOKEN") or False
 model = AutoModelForCausalLM.from_pretrained(model_name, 
                                              trust_remote_code=True, 
                                              torch_dtype=torch.bfloat16,
@@ -152,7 +152,7 @@ def gradio_interface_function(template, text, is_example):
         # yield gr.update(value=chunk_info), gr.update(value=progress), gr.update(value=full_pred), gr.update(value=html_content)
         yield progress, full_pred, html_content
 
-    if not is_example:
+    if not is_example and os.environ["LOG_SERVER"] is not None:
         log_event(text, template, full_pred)