Create Text_to_speech.py

Text_to_speech.py

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+import torch
+from TTS.api import TTS
+
+tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2").to(device)
+def Text_to_Speech(transcribe_data,lang,voice):
+  # Get device
+  device = "cuda" if torch.cuda.is_available() else "cpu"
+
+  # List available 🐸TTS models
+  print(TTS().list_models())
+
+  # Init TTS
+  
+  index=1
+  voice_list=[]
+  # Run TTS
+  # ❗ Since this model is multi-lingual voice cloning model, we must set the target speaker_wav and language
+  # Text to speech list of amplitude values as output
+  # Text to speech to a file
+  transcribe_data=list(filter(None,transcribe_data))
+  for data in transcribe_data:
+    if data is not None:
+      if voice is not None:
+        file_loc=tts.tts_to_file(text=data, speaker_wav=voice, language=lang, file_path=f"output{index}.wav")
+        voice_list.append(file_loc)
+        index+=1
+  return voice_list
+