Update app.py with references

app.py

@@ -3,17 +3,15 @@ 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(
-    '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).')
-
-st.write('*Note: it will take up to 30 seconds to run the app.*')
+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')
 
 form = st.form(key='sentiment-form')
 user_input = form.text_area('Enter your text')
 submit = form.form_submit_button('Submit')
 
 if submit:
-    classifier = pipeline("sentiment-analysis")
+    classifier = pipeline("sentiment-analysis") #using the pipeline() function
     result = classifier(user_input)[0]
     label = result['label']
     score = result['score']