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| import streamlit as st | |
| import tempfile | |
| from typing import Optional | |
| from TTS.config import load_config | |
| import numpy as np | |
| from TTS.utils.manage import ModelManager | |
| from TTS.utils.synthesizer import Synthesizer | |
| from PIL import Image | |
| image = Image.open('Thorsten-Voice_transparent.png') | |
| st.image(image) | |
| st.title("Thorsten-Voice - einfach ausprobieren") | |
| st.markdown("* 🇩🇪 Eine qualititativ hochwertige, deutsche, künstliche Stimme, die offline erzeugt werden kann, sollte jedem Projekt kostenlos und ohne lizenzrechtliche Einschränkungen zur Verfügung stehen.") | |
| st.markdown("* 🇺🇸 A high-quality German artificial voice that can be generated offline should be available to any project free of charge and without any licensing restrictions.") | |
| st.markdown("* Ein ⭐ ist gerne gesehen: https://github.com/thorstenMueller/Thorsten-Voice") | |
| st.markdown("* **Danke für's Abonnieren 😊: https://www.youtube.com/@ThorstenMueller**") | |
| st.markdown("* Die Webseite des Projektes lautet: https://www.Thorsten-Voice.de") | |
| text = st.text_area("Zu sprechender Text",max_chars=250) | |
| model = st.radio("Welches Thorsten-Voice Modell möchtest Du testen?", | |
| ('Thorsten-VITS','Thorsten-DDC')) | |
| if text: | |
| # Load Thorsten-Voice TTS/Vocoder models | |
| # Thanks to Coqui for inspiration and code snipplets :) | |
| manager = ModelManager() | |
| if model == "Thorsten-VITS": | |
| model_path, config_path, model_item = manager.download_model("tts_models/de/thorsten/vits") | |
| code = '''pip install tts==0.8.0 | |
| tts-server --model_name tts_models/de/thorsten/vits | |
| http://localhost:5002 im Browser öffnen''' | |
| if model == "Thorsten-DDC": | |
| model_path, config_path, model_item = manager.download_model("tts_models/de/thorsten/tacotron2-DDC") | |
| code = '''pip install tts==0.8.0 | |
| tts-server --model_name tts_models/de/thorsten/tacotron2-DDC | |
| http://localhost:5002 im Browser öffnen''' | |
| vocoder_name: Optional[str] = model_item["default_vocoder"] | |
| vocoder_path = None | |
| vocoder_config_path = None | |
| if vocoder_name is not None: | |
| vocoder_path, vocoder_config_path, _ = manager.download_model(vocoder_name) | |
| synthesizer = Synthesizer( | |
| model_path, config_path, None, None, vocoder_path, vocoder_config_path,) | |
| wav = synthesizer.tts(text) | |
| filename = tempfile.NamedTemporaryFile(suffix=".wav", delete=False) | |
| synthesizer.save_wav(wav, filename) | |
| audio_file = open(filename.name, 'rb') | |
| audio_bytes = audio_file.read() | |
| st.audio(audio_bytes,format="audio/wav") | |
| st.header("Wie gefällt Dir meine freie Stimme?") | |
| st.markdown("Lass es mich gerne wissen - https://twitter.com/ThorstenVoice - Danke.") | |
| st.header("Thorsten-Voice lokal ausführen:") | |
| st.code(code, language='shell') | |
| # TODO: st.write("Mit diesen Kommandos kannst Du die Stimme lokal nutzen") | |