Update app.py

app.py

@@ -1,38 +1,18 @@
 import gradio as gr
-from recommend import recommend_songs, recommend_by_mood, analyze_song_mood
+from recommend import recommend_songs, recommend_by_mood
 from mood_profiles import mood_profiles
 
-def recommend_combined(title, year):
-    recommendations = ""
-    if title:
-        try:
-            year = int(year) if year else None
-            song_list = [{'name': title, 'year': year}]
-            song_recs = recommend_songs(song_list)
-            recommendations += "Recommendations based on your song:\n" + format_results(song_recs) + "\n\n"
-
-            analyzed_mood_vector = analyze_song_mood(song_list)
-            print(f"Analyzed Mood Vector for {title}: {analyzed_mood_vector}") # Debugging print
-
-            if analyzed_mood_vector is not None:
-                mood_recs = recommend_by_mood(analyzed_mood_vector)
-                recommendations += f"Recommendations based on the analyzed mood of '{title}':\n" + format_results(mood_recs)
-            else:
-                recommendations += f"Could not analyze the mood of '{title}'.\n"
-
-        except ValueError:
-            recommendations += "Error: Invalid year format.\n\n"
-        except Exception as e:
-            recommendations += f"Error: {e}\n\n"
-    else:
-        recommendations = "Please enter a song to get recommendations."
-
-    return recommendations
+def recommend_from_song(title, year):
+    try:
+        year = int(year)
+        results = recommend_songs([{'name': title, 'year': year}])
+        return format_results(results)
+    except Exception as e:
+        return f"Error: {e}"
 
 def recommend_from_mood(mood):
     try:
-        mood_vector = np.array([mood_profiles[mood.lower()][col] for col in ['valence', 'energy', 'danceability', 'tempo', 'acousticness']])
-        results = recommend_by_mood(mood_vector)
+        results = recommend_by_mood(mood.lower())
         return format_results(results)
     except Exception as e:
         return f"Error: {e}"
@@ -48,11 +28,11 @@ def format_results(results):
     return formatted
 
 song_interface = gr.Interface(
-    fn=recommend_combined,
-    inputs=[gr.Textbox(label="Song Name"), gr.Textbox(label="Year (optional)")],
+    fn=recommend_from_song,
+    inputs=[gr.Textbox(label="Song Name"), gr.Textbox(label="Year")],
     outputs="text",
-    title="🎵 Music Recommender (By Song and Mood)",
-    description="Get song recommendations based on your favorite track, followed by recommendations based on the analyzed mood of that track."
+    title="🎵 Music Recommender (By Song)",
+    description="Get song recommendations based on your favorite track."
 )
 
 mood_interface = gr.Interface(