Use environement variables with os.environ function

app.py

@@ -40,8 +40,6 @@ def evaluate_model():
     return(f"Evaluate Model {os.environ.get('HF_LLM_MODEL_ID')} from dataset {os.environ.get('HF_LLM_DATASET_ID')}")
 
 
-
-
 def train_model(*inputs):
     if "IS_SHARED_UI" in os.environ:
         raise gr.Error("This Space only works in duplicated instances")

spanish_medica_llm.py

@@ -539,7 +539,6 @@ def configAndRunTraining(basemodel, dataset, eval_dataset, tokenizer):
         trainer.push_to_hub()
     
 
-
 def run_training_process():
     #Loggin to Huggin Face
     login(token = os.environ.get('HG_FACE_TOKEN'))