Update app.py

app.py

@@ -1,12 +1,14 @@
-pip install transformers[sentencepiece]
 import streamlit as st
 from transformers import pipeline
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
+#tokenizer = AutoTokenizer.from_pretrained("mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis")
+#model = AutoModelForSequenceClassification.from_pretrained("Howosn/Sentiment_Model")
 
 # Load the summarization & translation model pipeline
 tran_sum_pipe = pipeline("translation", model='utrobinmv/t5_summary_en_ru_zh_base_2048',return_all_scores=True)
 sentiment_pipeline = pipeline("text-classification", model='Howosn/Sentiment_Model',return_all_scores=True)
-#tokenizer = AutoTokenizer.from_pretrained('Howosn/Sentiment_Model', use_fast=False)
+tokenizer = T5Tokenizer.from_pretrained('utrobinmv/t5_summary_en_ru_zh_base_2048')
 
 # Streamlit application title
 st.title("Emotion analysis")