Update app.py

app.py

@@ -14,7 +14,7 @@ def main():
               which have been fine-tuned on a dataset of Goodreads book \
              reviews, see [here](https://www.kaggle.com/competitions/goodreads-books-reviews-290312/data) for the original dataset. \
              These models are deployed on AWS and are accessed using a REST API. To deploy the models we used a combination of AWS Sagemaker, Lambda, and API Gateway.\
-             \n\n To read more about this project and specifically how we cleaned the data and trained the models, see the following GitHub (repository)[https://github.com/david-meltzer/Goodreads-Sentiment-Analysis].")
+             \n\n To read more about this project and specifically how we cleaned the data and trained the models, see the following GitHub [repository](https://github.com/david-meltzer/Goodreads-Sentiment-Analysis).")
 
 
     AWS_key = st.secrets['AWS-key']
@@ -24,9 +24,9 @@ def main():
     checkpoints['BERT-tiny'] = 'https://055dugvmzl.execute-api.us-east-1.amazonaws.com/beta/'
     
     # User search with default question.
-    user_input = st.text_area("Search box", "I loved the Lord of the Rings trilogy. \
-                               It is a classic and beautifully written story and J.R.R. Tolkein really made Middle-Earth come to life. \
-                              My favorite part of the book though was when the hobbits met Tom Bombadil, it's too bad he was not in the movies.")
+    user_input = st.text_area("Search box", """I loved the Lord of the Rings trilogy.\
+    It is a classic and beautifully written story and J.R.R. Tolkein really made Middle-Earth come to life. \
+    My favorite part of the book though was when the hobbits met Tom Bombadil, it's too bad he was not in the movies.""")
 
 
     convert_dict = {}