edit

app.py

@@ -1,11 +1,13 @@
 import numpy as np
 import streamlit as st
 from transformers import pipeline
+import torch
 
 def bertweet(data):
     specific_model = pipeline(model="finiteautomata/bertweet-base-sentiment-analysis")
     print(specific_model(data))
 
+
 def getSent(data, model):
     if(model == 'Bertweet'):
         bertweet(data)

requirements.txt

@@ -1,4 +1,5 @@
 numpy
 streamlit
 transformers
-tensorflow
+tensorflow
+torch