From 5896f0db666893abe0b3c64f7207a794d2dcb3fd Mon Sep 17 00:00:00 2001
From: Wolfang Torres <wolfangtorres@qq.com>
Date: Thu, 25 Jun 2026 21:25:49 +0800
Subject: [PATCH] change topurch audio to soundfile

---
 pyproject.toml                     | 2 +-
 src/anki_hsk_creator/proccessor.py | 8 ++++----
 2 files changed, 5 insertions(+), 5 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index e5cbce2..18a7a33 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -31,7 +31,7 @@ dependencies = [
   "genanki",
   "argostranslate",
   "torch",
-  "torchaudio",
+  "soundfile",
   "torchcodec",
   "python-dotenv",
   "qwen-tts",
diff --git a/src/anki_hsk_creator/proccessor.py b/src/anki_hsk_creator/proccessor.py
index 23d9889..110b4a2 100644
--- a/src/anki_hsk_creator/proccessor.py
+++ b/src/anki_hsk_creator/proccessor.py
@@ -5,7 +5,7 @@ import csv
 
 # Pip
 import argostranslate.translate
-import torchaudio
+import soundfile as sf
 
 # Local
 from .constants import LANGUAGES
@@ -32,7 +32,7 @@ def dictation_process(
         audio_path = process_file.resources / f"N{n:03n}.wav"
         if not audio_path.exists():
             wavs, sr = TTS.generate(f"{audio_line}。")
-            torchaudio.save(audio_path, wavs[0], sr)
+            sf.write(audio_path, wavs[0], sr)
         translated = argostranslate.translate.translate(
             line, LANGUAGES.CN, process_file.language_id
         )
@@ -55,7 +55,7 @@ def translator_process(
         audio_path = process_file.resources / f"N{n:03n}.wav"
         if not audio_path.exists():
             wavs, sr = TTS.generate(f"{audio_line}。")
-            torchaudio.save(audio_path, wavs[0], sr)
+            sf.write(audio_path, wavs[0], sr)
         translated = argostranslate.translate.translate(
             line, LANGUAGES.CN, process_file.language_id
         )
@@ -118,7 +118,7 @@ def dictionary_process(process_file: ProcessFile) -> list[DictionaryResult]:
             audio_path = process_file.resources / f"{line['pinyin']}.wav"
             if not audio_path.exists():
                 wavs, sr = TTS.generate(f"{line['simplified']}。")
-                torchaudio.save(audio_path, wavs[0], sr)
+                sf.write(audio_path, wavs[0], sr)
             print(line)
             result = DictionaryResult(
                 **line, audio_path=audio_path, language_id=process_file.language_id