Use environement variables with os.environ function

app.py

@@ -77,6 +77,7 @@ def train_model(*inputs):
     # return [gr.update(visible=True, value=["diffusers_model.zip"]), gr.update(visible=True), gr.update(visible=True), gr.update(visible=True)]
     run_training_process()
     
+    
     return f"Train Model Sucessful!!!"
 
 def stop_model(*input):

spanish_medica_llm.py

@@ -329,6 +329,8 @@ HUB_MODEL_ID = 'somosnlp/spanish_medica_llm'
 MAX_TRAINING_STEPS = int(1500/2)
 MAX_TRAINING_STEPS = 2
 
+TOKEN_NAME = TOKEN_MISTRAL_NAME
+
 def loadSpanishTokenizer():
     """