Update app.py

app.py

@@ -2,7 +2,6 @@ import os
 import streamlit as st
 from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
 
-os.environ["HUGGINGFACE_HUB_API_TOKEN"] = os.getenv("HUGGINGFACE_HUB_API_TOKEN")
 # Create a class for the session state
 class SessionState:
     def __init__(self):
@@ -19,7 +18,7 @@ temperature = st.sidebar.slider("Temperature", 0.0, 1.0, 0.7)
 
 # Load the model and tokenizer with a loading message
 with st.spinner('Wait for model to respond..'):
-    model_name = "mistralai/Mistral-7B-Instruct-v0.2"
+    model_name = "intfloat/e5-mistral-7b-instruct"
     model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
     tokenizer = AutoTokenizer.from_pretrained(model_name)