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Update app.py
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app.py
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import streamlit as st
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import re
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import os
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# Function to process each line of the chord sheet
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def process_line(line):
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# Check if the line is a chord line (contains chord symbols)
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if re.search(r'\b[A-G][#b]?m?\b', line):
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# Replace chord symbols with image tags
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line = re.sub(r'\b([A-G][#b]?m?)\b', r"<img src='\1.png' style='height:20px;'>", line)
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return line
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# Streamlit app
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def main():
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#
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if st.button('Open Chord Sheet'):
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if os.path.exists(filename):
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with open(filename, "r") as file:
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chord_sheet = file.read()
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st.text_area("Chord Sheet", chord_sheet, height=300)
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processed_sheet = process_chord_sheet(chord_sheet)
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st.markdown(processed_sheet, unsafe_allow_html=True)
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else:
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st.error("File not found.")
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st.
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if __name__ == '__main__':
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main()
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import streamlit as st
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import re
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import os
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import glob
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# Set Streamlit page configuration to wide mode
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st.set_page_config(layout="wide")
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# Function to process each line of the chord sheet
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def process_line(line):
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if re.search(r'\b[A-G][#b]?m?\b', line):
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line = re.sub(r'\b([A-G][#b]?m?)\b', r"<img src='\1.png' style='height:20px;'>", line)
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return line
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# Streamlit app
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def main():
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# Sidebar with file loader
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with st.sidebar:
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st.title('🎵 Song Files')
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with st.expander("Select Song File"):
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all_files = glob.glob("*.txt")
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selected_file = st.selectbox("Choose a file", all_files)
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# Main area layout
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col1, col2 = st.columns([2, 1])
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with col1:
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with st.expander("🎶 Song and Artist"):
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song_name = st.text_input("🎵 Song Name")
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artist_name = st.text_input("🎤 Artist Name")
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chord_sheet_input = st.text_area("Chord Sheet", height=300)
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if st.button("💾 Save", key="save_song"):
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if song_name and artist_name:
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filename = f"{song_name} by {artist_name}.txt".replace(" ", "_")
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with open(filename, "w") as file:
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file.write(chord_sheet_input)
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st.success("Chord sheet saved.")
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else:
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st.error("Both Song Name and Artist Name are required.")
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with col2:
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if selected_file:
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song_name_artist = os.path.splitext(selected_file)[0].replace("_", " ")
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st.markdown(f"**Selected Song:** {song_name_artist}")
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st.markdown(f"[📚Wikipedia]({create_search_url_wikipedia(song_name_artist)})")
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st.markdown(f"[🎥YouTube]({create_search_url_youtube(song_name_artist)})")
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st.markdown(f"[🎸Chords]({create_search_url_chords(song_name_artist)})")
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st.markdown(f"[🎶Lyrics]({create_search_url_lyrics(song_name_artist)})")
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load_song_file(selected_file)
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# Displaying song files
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st.header("🎼 Available Songs")
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for file in all_files:
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song_info = os.path.splitext(file)[0].replace("_", " ")
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col1, col2, col3, col4, col5 = st.columns([4, 1, 1, 1, 1])
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with col1:
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st.markdown(f"* {song_info}")
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with col2:
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st.markdown(f"[📚Wikipedia]({create_search_url_wikipedia(song_info)})")
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with col3:
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st.markdown(f"[🎥YouTube]({create_search_url_youtube(song_info)})")
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with col4:
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st.markdown(f"[🎸Chords]({create_search_url_chords(song_info)})")
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with col5:
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st.markdown(f"[🎶Lyrics]({create_search_url_lyrics(song_info)})")
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# Function to load and display the selected song file
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def load_song_file(filename):
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with open(filename, "r") as file:
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chord_sheet = file.read()
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st.text_area("Chord Sheet", chord_sheet, height=300)
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processed_sheet = process_chord_sheet(chord_sheet)
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st.markdown(processed_sheet, unsafe_allow_html=True)
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if __name__ == '__main__':
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main()
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