Update app.py

app.py

@@ -27,13 +27,13 @@ def recommend(index):
 
 st.set_page_config(page_title='DiscoverCourses', page_icon=':bird:')
 st.header('DiscoverCourses')
-st.markdown('#')
-st.write('© 2023 Rushank Goyal. All rights reserved. Source for the all-MiniLM-L6-v2 model: Wang, Wenhui, et al. "MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers." arXiv, 25 Feb. 2020, doi:10.48550/arXiv.2002.10957.')
+st.write('')
 
 selected_course = st.selectbox('Pick a course from the dropdown:',course_title_list)
 
 container = st.container()
 maincol1, maincol2 = container.columns(2)
+st.write('')
 
 if maincol1.button('Recommend by title',use_container_width=True):
     output=recommend(np.where((coursedf['ref']+": "+coursedf['title']) == selected_course)[0][0])
@@ -62,4 +62,6 @@ if maincol2.button('Recommend by description',use_container_width=True):
         st.markdown(link, unsafe_allow_html=True)
         link = "[Carta](https://carta-beta.stanford.edu/results/"+course_id+")"
         st.markdown(link, unsafe_allow_html=True)
-        st.divider()
+        st.divider()
+
+st.write('© 2023 Rushank Goyal. All rights reserved. Source for the all-MiniLM-L6-v2 model: Wang, Wenhui, et al. "MiniLM: Deep Self-Attention Distillation for Task-Agnostic Compression of Pre-Trained Transformers." arXiv, 25 Feb. 2020, doi:10.48550/arXiv.2002.10957.')