Update MiniMed_EHR_Analyst_Spaces.py

MiniMed_EHR_Analyst_Spaces.py

@@ -5,11 +5,10 @@ from transformers import pipeline, AutoTokenizer, AutoModelForCausalLM
 #Note this should be used always in compliance with applicable laws and regulations if used with real patient data.
 
 # Load the tokenizer and model:
-# Now is squarelike/llama2-ko-medical-7b
-# formerly pseudolab/K23_MiniMed by Tonic (Note: This is a large model and will take a while to download)
+# Now is pseudolab/K23_MiniMed by Tonic (Note: This model has been struggling to operate without config errors)
 # Config issues persist with this model, unfortunately.  It may not be ready for use.
-tokenizer = AutoTokenizer.from_pretrained("squarelike/llama2-ko-medical-7b")
-model = AutoModelForCausalLM.from_pretrained("squarelike/llama2-ko-medical-7b")
+tokenizer = AutoTokenizer.from_pretrained("AutoTokenizer.from_pretrained("pseudolab/K23_MiniMed)
+model = AutoModelForCausalLM.from_pretrained("pseudolab/K23_MiniMed)
 
 #Upload Patient Data
 uploaded_file = st.file_uploader("Choose a CSV file", type="csv")