Use environement variables with os.environ function

app.py

@@ -39,6 +39,7 @@ def evaluate_model():
     #image = pipe(prompt).images[0]  
     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

@@ -539,11 +539,11 @@ def configAndRunTraining(basemodel, dataset, eval_dataset, tokenizer):
 
         trainer.push_to_hub()
     
-    
+
 
 def run_training_process():
     #Loggin to Huggin Face
-    login(token = os.environ('HG_FACE_TOKEN'))
+    login(token = os.environ.get('HG_FACE_TOKEN'))
     tokenizer = loadSpanishTokenizer()
     medicalSpanishDataset =  loadSpanishDataset()
     train_dataset, eval_dataset, test_dataset = splitDatasetInTestValid(