Update app.py

app.py

@@ -7,10 +7,10 @@ title = "Ayurveda4U"
 description = "LLM-Powered Medical Chatbot that will answer all your health-related queries with the help of Ayurvedic texts ynder the hood!"
 examples = [["How can you cure common cold using Ayurveda?"], ["What is the Ayurvedic equivalent of Paracetamol?"]]
 
-model_path = 'microsoft/phi-1_5'#'microsoft/DialoGPT-large' #'microsoft/biogpt' #'microsoft/BioGPT-large' #microsoft/DialoGPT-large
+model_path = 'tloen/alpaca-lora-7b' #'microsoft/phi-1_5'#'microsoft/DialoGPT-large' #'microsoft/biogpt' #'microsoft/BioGPT-large' #microsoft/DialoGPT-large
 
 tokenizer = AutoTokenizer.from_pretrained(model_path)
-model = AutoModelForCausalLM.from_pretrained(model_path, trust_remote_code=True)
+model = AutoModelForCausalLM.from_pretrained(model_path)
 
 
 def predict(input, history=[]):