update app.py

app.py

@@ -250,6 +250,7 @@ def predict_with_metadata(url):
         return " Veuillez entrer une URL FreeSound."
 
     df = fetch_sound_metadata(url)
+    df = preprocess_targets(df)
     #df_raw = df.copy()
     #df = preprocess_targets(df)
     #df = preprocess_features_full(df)  # <-- version complète
@@ -269,7 +270,10 @@ def predict_with_metadata(url):
             "----------------------------------\n"
             f"{df.columns.tolist()}\n\n"
             f"{df.dtypes}"
-            f"{df.columns.values}")
+            "OK – TARGETS CALCULÉES\n"
+            f"avg_rating (discrétisé) : {df['avg_rating'].iloc[0]}\n"
+            f"num_downloads_class : {df['num_downloads_class'].iloc[0]}"
+            )
             
 
 def predict_with_audio(url):