Update app.py

app.py

@@ -1,7 +1,7 @@
 import streamlit as st
 from langchain.llms import CTransformers
 from langchain.prompts import PromptTemplate
-from transformers import AutoModelForCausalLM
+from transformers import AutoModelForCausalLM, AutoModel
 from dotenv import load_dotenv
 from huggingface_hub import login
 import os
@@ -13,8 +13,8 @@ login(token=access_token)
 # from transformers import pipeline
 # model = pipeline("text-generation", model="TheBloke/Llama-2-7B-Chat-GGML")
 
-model_name = "karthiksagarn/llama-2-7b-chat"
-model = AutoModelForCausalLM.from_pretrained(model_name, use_auth_token=access_token)
+model_name = "TheBloke/Llama-2-7B-Chat-GGML"
+model = AutoModel.from_pretrained(model_name, use_auth_token=access_token)
 
 ## Function to get response form the LLama2 Model
 def getLLamaResponse(input_text, no_of_words, blog_style):