Add isolated Qwen3 TTS runtime, GUI setup and speech endpoint

tts_worker.py

@@ -0,0 +1,21 @@
+"""One isolated offline Qwen-TTS request; stdin is never persisted."""
+import json,sys
+from pathlib import Path
+
+def main():
+ request=json.load(sys.stdin);root=Path(request['output'])
+ try:
+  import torch,soundfile as sf
+  from qwen_tts import Qwen3TTSModel
+  model=Qwen3TTSModel.from_pretrained(request['model'],device_map='cuda:0',dtype=torch.bfloat16,attn_implementation='sdpa',local_files_only=True)
+  waves,rate=model.generate_custom_voice(text=request['text'],language=request['language'],speaker=request['speaker'],max_new_tokens=1024)
+  wave=waves[0]
+  if request['speed']!=1:
+   import librosa
+   wave=librosa.effects.time_stretch(wave,rate=request['speed'])
+  sf.write(root/'result.wav',wave,rate,subtype='PCM_16')
+  (root/'result.json').write_text(json.dumps(dict(ok=True,sample_rate=rate,duration=len(wave)/rate)))
+ except Exception as exc:
+  (root/'result.json').write_text(json.dumps(dict(ok=False,error='CUDA-Speicher reicht nicht aus.' if 'outofmemory' in type(exc).__name__.lower() or 'out of memory' in str(exc).lower() else 'TTS-Ausführung fehlgeschlagen: '+type(exc).__name__)))
+  sys.exit(1)
+if __name__=='__main__':main()