Upload edit\Qwen3-TTS-test\finetuning\prepare_data.py with huggingface_hub

edit//Qwen3-TTS-test//finetuning//prepare_data.py

@@ -0,0 +1,71 @@
+# coding=utf-8
+# Copyright 2026 The Alibaba Qwen team.
+# SPDX-License-Identifier: Apache-2.0
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import argparse
+import json
+
+from qwen_tts import Qwen3TTSTokenizer
+
+BATCH_INFER_NUM = 32
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--device", type=str, default="cuda:0")
+    parser.add_argument("--tokenizer_model_path", type=str, default="Qwen/Qwen3-TTS-Tokenizer-12Hz")
+    parser.add_argument("--input_jsonl", type=str, required=True)
+    parser.add_argument("--output_jsonl", type=str, required=True)
+    args = parser.parse_args()
+
+    tokenizer_12hz = Qwen3TTSTokenizer.from_pretrained(
+        args.tokenizer_model_path,
+        device_map=args.device,
+    )
+
+    total_lines = open(args.input_jsonl).readlines()
+    total_lines = [json.loads(line.strip()) for line in total_lines]
+
+    final_lines = []
+    batch_lines = []
+    batch_audios = []
+    for line in total_lines:
+
+        batch_lines.append(line)
+        batch_audios.append(line['audio'])
+
+        if len(batch_lines) >= BATCH_INFER_NUM:
+            enc_res = tokenizer_12hz.encode(batch_audios)
+            for code, line in zip(enc_res.audio_codes, batch_lines):
+                line['audio_codes'] = code.cpu().tolist()
+                final_lines.append(line)
+            batch_lines.clear()
+            batch_audios.clear()
+
+    if len(batch_audios) > 0:
+        enc_res = tokenizer_12hz.encode(batch_audios)
+        for code, line in zip(enc_res.audio_codes, batch_lines):
+            line['audio_codes'] = code.cpu().tolist()
+            final_lines.append(line)
+        batch_lines.clear()
+        batch_audios.clear()
+
+    final_lines = [json.dumps(line, ensure_ascii=False) for line in final_lines]
+
+    with open(args.output_jsonl, 'w') as f:
+        for line in final_lines:
+            f.writelines(line + '\n')
+
+if __name__ == "__main__":
+    main()