Update app.py

app.py

@@ -3,13 +3,14 @@ import gradio as gr
 import torch
 
 
-title = "????AI ChatBot"
-description = "A State-of-the-Art Large-scale Pretrained Response generation model (DialoGPT)"
-examples = [["How are you?"]]
+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/BioGPT-large' #microsoft/DialoGPT-large
 
-tokenizer = AutoTokenizer.from_pretrained("microsoft/DialoGPT-large")
-model = AutoModelForCausalLM.from_pretrained("microsoft/DialoGPT-large")
+tokenizer = AutoTokenizer.from_pretrained(model_path)
+model = AutoModelForCausalLM.from_pretrained(model_path)
 
 
 def predict(input, history=[]):