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import streamlit as st
import streamlit.components.v1 as components
import re
import os
import glob
# Set Streamlit page configuration
st.set_page_config(layout="wide")
def process_line(line):
if re.search(r'\b[A-G][#b]?m?\b', line):
line = re.sub(r'\b([A-G][#b]?m?)\b', r"<img src='\1.png' style='height:20px;'>", line)
return line
def process_chord_sheet(chord_sheet):
processed_lines = [process_line(line) for line in chord_sheet.split('\n')]
return '<br>'.join(processed_lines)
def load_song_file(file_path):
with open(file_path, 'r', encoding='utf-8') as file:
return file.read()
def display_chord_sheet_in_two_page_view(chord_sheet):
# CSS for multi-column layout
css_content = """
<style>
.multi-column {
column-count: 2;
column-gap: 1em;
column-rule: thin solid black;
overflow: auto;
white-space: pre-wrap;
font-size: small;
}
</style>
"""
# HTML structure with multi-column layout
html_content = f"""
{css_content}
<div class="multi-column">
{chord_sheet}
</div>
"""
components.html(html_content, height=1200)
def main():
col1, col3 = st.columns([3, 5])
with col1:
st.markdown('### 🎵 📚Prompt🎥🎸Chord Sheet🎶 AI Prompt Authoring App')
with st.expander("Select Song:", expanded=True):
all_files = [f for f in glob.glob("*.txt") if ' by ' in f]
selected_file = st.selectbox("Choose: ", all_files, key='selected_file')
if selected_file:
song_info = os.path.splitext(selected_file)[0].replace("_", " ")
st.header("🎼 Current Song")
st.markdown("**" + song_info + "**")
chord_sheet = load_song_file(selected_file)
processed_sheet = process_chord_sheet(chord_sheet)
st.markdown(processed_sheet, unsafe_allow_html=True)
with col3:
if 'selected_file' in st.session_state and st.session_state.selected_file:
# Display chord sheet in multi-column view
chord_sheet = load_song_file(st.session_state.selected_file)
processed_sheet = process_chord_sheet(chord_sheet)
display_chord_sheet_in_two_page_view(processed_sheet)
if __name__ == '__main__':
main()
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