Update app.py with references

app.py

@@ -2,9 +2,9 @@ import streamlit as st
 from transformers import pipeline
 
 st.title('Sentiment Analysis using Transformers pipeline function')
-st.write('This app uses the Hugging Face Transformers [sentiment analyzer](https://huggingface.co/course/chapter1/3?fw=tf) library to classify the sentiment of your input as positive or negative. The web app is built using [Streamlit](https://docs.streamlit.io/en/stable/getting_started.html).')
-st.write('References: \n https://medium.com/@rtkilian/deploy-and-share-your-sentiment-analysis-app-using-streamlit-sharing-2ba3ca6a3ead')
-st.write(' \t\t\t https://huggingface.co/learn/nlp-course/chapter1/3?fw=pt')
+st.write('References:')
+st.write('1. https://medium.com/@rtkilian/deploy-and-share-your-sentiment-analysis-app-using-streamlit-sharing-2ba3ca6a3ead')
+st.write('2. https://huggingface.co/learn/nlp-course/chapter1/3?fw=pt')
 
 form = st.form(key='sentiment-form')
 user_input = form.text_area('Enter your text')