Update app.py

app.py

@@ -108,6 +108,44 @@ def search_youtube_music(mood_value, tempo_value):
     
     return iframe_html + "<br>" + download_link_html
 
+
+# Spotify Authentication Function
+SPOTIFY_CLIENT_ID = "d4925860a6894ce68c72a6ff4b69f542"
+SPOTIFY_CLIENT_SECRET = "787194348cb544ad889c397cf4963cc8"
+
+def get_spotify_token():
+    auth_url = "https://accounts.spotify.com/api/token"
+    credentials = f"{SPOTIFY_CLIENT_ID}:{SPOTIFY_CLIENT_SECRET}"
+    headers = {
+        "Authorization": f"Basic {base64.b64encode(credentials.encode()).decode()}",
+        "Content-Type": "application/x-www-form-urlencoded"
+    }
+    data = {"grant_type": "client_credentials"}
+
+    response = requests.post(auth_url, headers=headers, data=data)
+    response.raise_for_status()
+    return response.json().get("access_token")
+
+# Function to get song recommendations from Spotify
+def get_spotify_recommendations(mood):
+    genre = "pop" if mood not in ["sad", "happy"] else mood
+    access_token = get_spotify_token()
+
+    search_url = "https://api.spotify.com/v1/search"
+    headers = {"Authorization": f"Bearer {access_token}"}
+    params = {
+        "q": genre,
+        "type": "track",
+        "limit": 3
+    }
+
+    response = requests.get(search_url, headers=headers, params=params)
+    response.raise_for_status()
+
+    tracks = response.json().get("tracks", {}).get("items", [])
+    return [f"{track['name']} by {track['artists'][0]['name']} - [🎵 Listen on Spotify]({track['external_urls']['spotify']})"
+            for track in tracks]
+
 # Streamlit UI
 st.set_page_config(page_title="Emotion Detector & Music Finder", layout="centered")
 
@@ -147,3 +185,11 @@ with tab2:
     if st.button("Find Music"):
         youtube_embed = search_youtube_music(mood_slider, tempo_slider)
         st.markdown(youtube_embed, unsafe_allow_html=True)
+
+    # Fetch Spotify song recommendations based on mood
+        mood_description = get_mood_from_slider(mood_slider)
+        spotify_recommendations = get_spotify_recommendations(mood_description)
+        
+        st.subheader("Spotify Song Recommendations")
+        for song in spotify_recommendations:
+            st.markdown(song, unsafe_allow_html=True)