Update sentiment_analysis_using_transformers.py

sentiment_analysis_using_transformers.py

@@ -1,8 +1,8 @@
 import streamlit as st
 from transformers import pipeline
 
-st.title('Sentiment Analyser App')
-st.write('This app uses the Hugging Face Transformers [sentiment analyser](https://huggingface.co/course/chapter1/3?fw=tf) library to clasify the sentiment of your input as postive or negative. The web app is built using [Streamlit](https://docs.streamlit.io/en/stable/getting_started.html).')
+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(
     'To find out how this app was developed, please check out my [Medium post](https://medium.com/@rtkilian/deploy-and-share-your-sentiment-analysis-app-using-streamlit-sharing-2ba3ca6a3ead). To see my source code, have a look at my [GitHub repo](https://github.com/rtkilian/streamlit-huggingface).')