Update app.py

app.py

@@ -8,26 +8,27 @@ import subprocess
 
 # os.system("conda install -c conda-forge ffmpeg libsndfile -y")
 
-st.set_page_config(
-    page_title="Music Vocabulary Splitter",
-    page_icon=None,
-    layout="wide",
-    initial_sidebar_state="auto",
-)
+st.set_page_config(page_title='Music Vocabulary Splitter', layout='wide', initial_sidebar_state='collapsed')
 
-st.header('Welcome to Music Vocabulary Splitter')
+st.title('Music Vocabulary Splitter')
 
-st.text("""
-This application is designed to help you analyze and split the vocabulary associated with your music files. 
-Whether you're looking to categorize lyrics, analyze word usage, or better understand the thematic elements of your songs, Music Vocabulary Splitter is your tool.
+# Adding space for aesthetics
+st.markdown('<br>', unsafe_allow_html=True)
+
+st.header('Welcome to the Music Vocabulary Splitter :musical_note:')
+st.markdown("""
+This application is designed to help you **analyze and split the vocabulary** associated with your music files. Whether you're looking to categorize lyrics, analyze word usage, or better understand the thematic elements of your songs, **Music Vocabulary Splitter** is your go-to tool.
 
 With Music Vocabulary Splitter, you can:
-- Split and categorize words from lyrics or song descriptions.
-- Generate insights into the frequency and distribution of words.
-- Apply these insights to understand themes and patterns across your music collection.
+- :musical_note: Split and categorize words from lyrics or song descriptions.
+- :bar_chart: Generate insights into the frequency and distribution of words.
+- :mag: Apply these insights to understand themes and patterns across your music collection.
+
+:microphone: Upload your music files and let's get started!
+""", unsafe_allow_html=True)
 
-Upload your audio/video files and let's get started!
-""")
+# Adding space for aesthetics
+st.markdown('<br>', unsafe_allow_html=True)