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| import streamlit as st | |
| from spotify_api import SpotifyClient | |
| from sentiment_analysis import SentimentAnalyzer | |
| from song_matching import SongMatcher | |
| # Spotify API credentials - ensure these are securely stored or use environment variables | |
| CLIENT_ID = "c34955a27b6447e3a1b92305d04bbbea" | |
| CLIENT_SECRET = "1d197925c0654b5da80bd3cfa1f5afdd" | |
| # Initialize SpotifyClient, SentimentAnalyzer, and SongMatcher | |
| spotify_client = SpotifyClient(CLIENT_ID, CLIENT_SECRET) | |
| sentiment_analyzer = SentimentAnalyzer() | |
| song_matcher = SongMatcher('./music_mental_health.csv') | |
| # Streamlit app layout | |
| st.set_page_config(page_title="MODUS MUSIC", layout="wide") # New: Setting page title and layout | |
| # Custom CSS for background and text color | |
| st.markdown(""" | |
| <style> | |
| .stApp { | |
| background: rgb(0,0,0); | |
| background-size: cover; | |
| color: white; /* Sets global text color to white */ | |
| } | |
| /* General rule for all labels */ | |
| label { | |
| color: white !important; | |
| } | |
| /* Specific color for the main title */ | |
| h1 { | |
| color: red !important; /* Making the MODUS MUSIC title red */ | |
| } | |
| /* Additional specific styling */ | |
| .stTextInput > label, .stButton > button, .css-10trblm, .css-1yjuwjr, .intro { | |
| color: white !important; | |
| } | |
| </style> | |
| """, unsafe_allow_html=True) | |
| image_path = './MODUSMUSIC.png' # Replace with the actual path to your image | |
| st.image(image_path, use_column_width=False, width=250) # Adjust the width as needed | |
| # Custom gradient background using CSS | |
| st.markdown(""" | |
| <style> | |
| .stApp { | |
| background: rgb(0,0,0); | |
| background-size: cover; | |
| } | |
| </style> | |
| """, unsafe_allow_html=True) | |
| # Custom HTML for the main title | |
| st.markdown("<h1 style='text-align: center; font-weight: bold;'>MODUS MUSIC</h1>", unsafe_allow_html=True) | |
| st.title('Music Suggestion Based on Your Feeling') # Existing Title | |
| # New: Introduction Section | |
| with st.container(): | |
| st.markdown(""" | |
| <style> | |
| .intro { | |
| font-size:18px; | |
| } | |
| </style> | |
| <div class='intro'> | |
| Welcome to Modus Music! Share your vibe, and let's find the perfect songs to match your mood. | |
| Just type in your thoughts, and we'll do the rest. | |
| </div> | |
| """, unsafe_allow_html=True) | |
| # User input text area | |
| with st.container(): | |
| user_input = st.text_area("What's your vibe? Tell me about it:", key="123", height=150, max_chars=500) | |
| m = st.markdown(""" | |
| <style> | |
| div.stButton > button:first-child { | |
| background-color: rgb(204, 49, 49); | |
| } | |
| </style>""", unsafe_allow_html=True) | |
| # Use the custom style for the button | |
| submit_button = st.button("Generate music") | |
| # Processing and Displaying Results | |
| if submit_button and user_input.strip(): | |
| # Run sentiment analysis on the user input | |
| sentiment_label, sentiment_score = sentiment_analyzer.analyze_sentiment(user_input) | |
| st.write(f"Sentiment: {sentiment_label}, Score: {sentiment_score:.2f}") | |
| suggested_songs = song_matcher.match_songs_with_sentiment(sentiment_label, sentiment_score, user_input, 0.00625) | |
| with st.container(): | |
| st.markdown("<div class='song-list'>", unsafe_allow_html=True) | |
| st.write("Based on your vibe, you might like these songs:") | |
| for index, row in suggested_songs.iterrows(): | |
| song = row['song'] | |
| artist = row['artist'] | |
| track_id = spotify_client.get_track_id(song) | |
| if track_id: | |
| preview_url = spotify_client.get_track_preview_url(track_id) | |
| st.write(f"{song} by {artist}") | |
| with st.expander(f"Show Lyrics for {song} by {artist}", expanded=False): | |
| st.write(f"Lyrics: {row['seq']}") | |
| if preview_url: | |
| st.audio(preview_url) | |
| else: | |
| st.write("No Preview Available") | |
| else: | |
| st.write(f"Unable to find {song} by {artist} on Spotify.") | |
| st.markdown("</div>", unsafe_allow_html=True) | |
| elif submit_button and not user_input.strip(): | |
| st.warning("Please provide a longer response with 5 words or more.") | |
| st.rerun() | |