Update app.py

app.py

@@ -119,12 +119,11 @@ class HySpeech(datasets.GeneratorBasedBuilder):
     
 
     def _generate_examples(self, audio_archives, local_extracted_archives_paths, metadata_paths):
-        features = ["raw_text", "normalized_text", "speaker_id", "gender"]
+        features = ["raw_text", "normalized_text", "speaker_id", "gender", "is_gold_transcript", "accent"]
 
         meta_path = metadata_paths
         with open(meta_path) as f:
-            metadata = {x["audio_path"].split(os.sep)[-1].split(".wav")[0]: x for x in csv.DictReader(f, delimiter="\t")}
-
+            metadata = {x["id"]: x for x in csv.DictReader(f, delimiter="\t")}
 
         for audio_archive, local_extracted_archive_path in zip(audio_archives, local_extracted_archives_paths):
             for audio_filename, audio_file in audio_archive:
@@ -133,6 +132,7 @@ class HySpeech(datasets.GeneratorBasedBuilder):
 
                 yield audio_id, {
                     "audio_id": audio_id,
+                    "language": lang,
                     **{feature: metadata[audio_id][feature] for feature in features},
                     "audio": {"path": path, "bytes": audio_file.read()},
                 }