Adding transformers part - will it download the model each time? Hope not

app.py

@@ -2,9 +2,32 @@ import streamlit as st
 import pandas as pd
 import twint 
 import nest_asyncio
-
 import multiprocessing.pool
 import functools
+from transformers import AutoModelForSequenceClassification
+from transformers import TFAutoModelForSequenceClassification
+from transformers import AutoTokenizer
+import numpy as np
+from scipy.special import softmax
+import csv
+import urllib.request
+import IPython.display as ipd
+
+# Preprocess text (username and link placeholders)
+def preprocess(text):
+    new_text = []
+ 
+ 
+    for t in text.split(" "):
+        t = '@user' if t.startswith('@') and len(t) > 1 else t
+        t = 'http' if t.startswith('http') else t
+        new_text.append(t)
+    return " ".join(new_text)
+
+MODEL = "cardiffnlp/twitter-roberta-base-sentiment"
+tokenizer = AutoTokenizer.from_pretrained(MODEL)
+model = AutoModelForSequenceClassification.from_pretrained(MODEL)
+model.save_pretrained(MODEL)
 
 # https://stackoverflow.com/questions/492519/timeout-on-a-function-call
 def timeout(max_timeout):
@@ -45,7 +68,6 @@ def get_tweets(username, limit=500, save_name=None):
 
 st.title('Test')
 
-st.title(get_tweets('johnowhitaker', 20).shape)
 
 with st.form("my_form"):
   st.write("Inside the form")