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.gitignore

@@ -0,0 +1 @@
+.env

app.py

@@ -1,11 +1,16 @@
+import os
 from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
 import torch
 import gradio as gr
 import spaces
+from dotenv import load_dotenv
+
+load_dotenv()
+
+os.environ["HF_TOKEN"] = os.getenv("HF_TOKEN")
 
 torch.cuda.empty_cache()
 device = "cuda" if torch.cuda.is_available() else "cpu"
-print(f"Using device: {device}")
 
 model_name = "syubraj/MedicalChat-Phi-3.5-mini-instruct"
 try: