Create app.py

app.py

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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 = "your_spotify_client_id"
+CLIENT_SECRET = "your_spotify_client_secret"
+
+# Initialize SpotifyClient, SentimentAnalyzer, and SongMatcher
+spotify_client = SpotifyClient(CLIENT_ID, CLIENT_SECRET)
+sentiment_analyzer = SentimentAnalyzer()
+song_matcher = SongMatcher('./app/music_mental_health.csv')
+
+# Streamlit app layout
+st.set_page_config(page_title="MODUS MUSIC", layout="wide")  # New: Setting page title and layout
+#st.markdown("<h1 style='text-align: center; font-weight: bold;'>MODUS MUSIC</h1>", unsafe_allow_html=True)
+
+# Custom gradient background using CSS
+st.markdown("""
+    <style>
+    .stApp {
+        background: rgb(0,0,0);
+        background-size: cover;
+    }
+    </style>
+    """, 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():
+    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)
+
+    with st.container():
+        st.markdown("<div class='song-list'>", unsafe_allow_html=True)
+        st.write("Based on your mood, 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()