.

app.py

@@ -3,7 +3,6 @@ import pandas as pd
 from transformers import pipeline, AutoConfig, AutoTokenizer, AutoModelForSeq2SeqLM, AutoModelForCausalLM, MistralForCausalLM
 from peft import PeftModel, PeftConfig
 import gradio as gr
-gr.Blocks(theme= 'pseudolab/huggingface-korea-theme')
 
 #Note this should be used always in compliance with applicable laws and regulations if used with real patient data.
 
@@ -17,9 +16,6 @@ peft_config = PeftConfig.from_pretrained("pseudolab/K23_MiniMed")
 peft_model = MistralForCausalLM.from_pretrained("pseudolab/K23_MiniMed", trust_remote_code=True)
 peft_model = PeftModel.from_pretrained(peft_model, "pseudolab/K23_MiniMed")
 
-#Upload Patient Data
-uploaded_file = st.file_uploader("Choose a CSV file", type="csv")
-
 # Prepare the context
 def prepare_context(data):
     # Format the data as a string