Upload app.py

app.py

@@ -112,7 +112,7 @@ def recommend(artist, song_title, embedding_importance, topk=5):
     
     body='<br>'.join([decode(x) for x in result.sort_values('score', ascending=False).head(topk).song_id.to_list()])
     fig = plot(artist, song_title)
-    return f'<h3 style="text-align: center;">Recomendations</h3><p style="text-align: center;"><br>{body}</p>', fig
+    return f'<h3 style="text-align: center;">Recommendations</h3><p style="text-align: center;"><br>{body}</p>', fig
 
 
 out = umap.UMAP(n_neighbors=30, min_dist=0.2).fit_transform(embedding_df.iloc[:,:-1])
@@ -175,7 +175,7 @@ with app:
             slider = gr.Slider(0,1,value=0.5, label='Embedding Importance')
             but = gr.Button()
         with gr.Column():
-            t = gr.Markdown()
+            t = gr.Markdown('<h3 style="text-align: center;">Recomendations</h3>')
 
     with gr.Row():
         p = gr.Plot(fig)