Update app.py

app.py

@@ -1,5 +1,5 @@
 import streamlit as st
-from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer, TFAutoModelForSequenceClassification, DistillbertForSequenceClassification
+from transformers import pipeline, AutoModelForSequenceClassification, AutoTokenizer, TFAutoModelForSequenceClassification
 
 # Options for models from transformers library
 MODEL_OPTS = ['default', 'bertweet-base-sentiment-analysis', 'twitter-roberta-base', 'distilRoberta-financial-sentiment']
@@ -35,6 +35,7 @@ def sentiment_analysis(model, tokenizer):
 
 # Title the Streamlit app 'Sentiment Analysis'
 st.title('Sentiment Analysis')
+st.markdown('Link to the app - [sentiment-analysis-app](https://huggingface.co/spaces/saccharinedreams/sentiment-analysis-app)')
 
 # Take in user input
 user_text = st.text_input('Input text to perform sentiment analysis on here.')