app.py

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):
    # Process each line to replace chords with images
    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):
    # Process the entire chord sheet
    processed_lines = [process_line(line) for line in chord_sheet.split('\n')]
    return '<br>'.join(processed_lines)

def create_search_url(base_url, artist_song):
    # Create search URL with appropriate character replacements
    return base_url + artist_song.replace(' ', '+').replace('–', '%E2%80%93').replace('&', 'and')

def load_song_file(file_path):
    # Load a song file and return its content
    with open(file_path, 'r', encoding='utf-8') as file:
        return file.read()

def parse_filename(filename):
    # Parse the filename to extract song and artist names
    base_name = os.path.splitext(filename)[0]
    song_name, artist_name = base_name.split(' by ')
    return song_name.replace("_", " "), artist_name.replace("_", " ")

def main():
    col1, col3 = st.columns([3, 5])

    with col1:
        st.markdown('### 🎵 📚Prompt🎥🎸Chord Sheet🎶 AI Prompt Authoring App')

        # Expander for selecting the song
        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')

        # Input fields for song and artist names
        song_name_input = st.text_input("🎵 Song:", key='song_name')
        artist_name_input = st.text_input("🎤 Artist:", key='artist_name')

        if selected_file:
            # Display the current song
            song_info = os.path.splitext(selected_file)[0].replace("_", " ")
            st.header("🎼 Current Song")
            st.markdown("**" + song_info + "**")
            processed_sheet = process_chord_sheet(load_song_file(selected_file))
            components.html(processed_sheet, height=600)  # Using HTML component for chord sheet

            # Markdown table with links
            table_md = f"""
            | Wikipedia | YouTube | Chords | Lyrics |
            | --------- | ------- | ------ | ------ |
            | [📚]({create_search_url("https://www.wikipedia.org/search-redirect.php?family=wikipedia&language=en&search=", song_info)}) | [🎥]({create_search_url("https://www.youtube.com/results?search_query=", song_info)}) | [🎸]({create_search_url("https://www.ultimate-guitar.com/search.php?search_type=title&value=", song_info)}) | [🎶]({create_search_url("https://www.google.com/search?q=", song_info + '+lyrics')}) |
            """
            st.markdown(table_md)

            st.header("🎼 Available Songs")
            for file in all_files:
                song_info = os.path.splitext(file)[0].replace("_", " ")
                icol1, icol2 = st.columns([1, 3])
                with icol1:
                    st.markdown("**" + song_info + "**")
                    processed_sheet = process_chord_sheet(load_song_file(file))
                    components.html(processed_sheet, height=150)  # Displaying processed chord sheets

    with col3:
        # Chord sheet text area
        chord_sheet_area = st.text_area("Chord Sheet", value=load_song_file(selected_file) if selected_file else '', height=1600, key='chord_sheet')

        # Save functionality
        if st.button("💾 Save", key="save_song"):
            if song_name_input and artist_name_input:
                filename = song_name_input + " by " + artist_name_input + ".txt"
                with open(filename, "w") as file:
                    file.write(chord_sheet_area)
                st.success("Chord sheet saved to file: " + filename)
            else:
                st.error("Both Song Name and Artist Name are required.")

if __name__ == '__main__':
    main()