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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): | |
| # 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() | |