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| import streamlit as st | |
| import subprocess | |
| import tempfile | |
| import sys | |
| import os | |
| from os.path import exists | |
| import requests | |
| import tarfile | |
| from PIL import Image | |
| # Set base path | |
| BASE_PATH = os.getcwd() # /home/user/app | |
| BASE_PATH_MODEL = os.path.join(BASE_PATH, "Model") | |
| # Piper TTS download url | |
| URL_PIPER_DOWNLOAD = "https://github.com/rhasspy/piper/releases/download/v1.2.0/piper_amd64.tar.gz" | |
| # Thorsten-Voice TTS model files | |
| URL_TV_HOCHDEUTSCH_ONNX = "https://huggingface.co./rhasspy/piper-voices/resolve/v1.0.0/de/de_DE/thorsten/high/de_DE-thorsten-high.onnx" | |
| URL_TV_EMOTIONAL_ONNX = "https://huggingface.co./rhasspy/piper-voices/resolve/v1.0.0/de/de_DE/thorsten_emotional/medium/de_DE-thorsten_emotional-medium.onnx" | |
| URL_TV_HESSISCH_ONNX = "https://huggingface.co./Thorsten-Voice/Hessisch/resolve/main/Thorsten-Voice_Hessisch_Piper_high-Oct2023.onnx" | |
| TMP_PIPER_FILENAME = os.path.join(BASE_PATH, "piper.tgz") | |
| ########################## | |
| # CHECK OR INSTALL PIPER # | |
| ########################## | |
| if os.path.exists(os.path.join(BASE_PATH,"piper")) == False: | |
| # Piper not downloaded and extracted yet, let's do this first. | |
| response = requests.get(URL_PIPER_DOWNLOAD) | |
| if response.status_code == 200: | |
| with open(TMP_PIPER_FILENAME, 'wb') as f: | |
| f.write(response.content) | |
| with tarfile.open(TMP_PIPER_FILENAME, 'r:gz') as tar: | |
| tar.extractall(BASE_PATH) | |
| else: | |
| st.markdown(f"Failed to download Piper TTS from {URL_PIPER_DOWNLOAD} (Status code: {response.status_code})") | |
| ##################################################### | |
| # CHECK OR DOWNLOAD: All Thorsten-Voice model files # | |
| ##################################################### | |
| # Create "Model" path if not existing | |
| if os.path.exists(BASE_PATH_MODEL) == False: | |
| os.makedirs(BASE_PATH_MODEL) | |
| # --- Download "NEUTRAL" TTS model --- # | |
| response = requests.get(URL_TV_HOCHDEUTSCH_ONNX) | |
| if response.status_code == 200: | |
| with open(os.path.join(BASE_PATH_MODEL, "TV-Neutral.onnx"), 'wb') as f: | |
| f.write(response.content) | |
| response = requests.get(URL_TV_HOCHDEUTSCH_ONNX + ".json") | |
| if response.status_code == 200: | |
| with open(os.path.join(BASE_PATH_MODEL, "TV-Neutral.onnx.json"), 'wb') as f: | |
| f.write(response.content) | |
| # --- Download "EMOTIONAL" TTS model --- # | |
| response = requests.get(URL_TV_EMOTIONAL_ONNX) | |
| if response.status_code == 200: | |
| with open(os.path.join(BASE_PATH_MODEL, "TV-Emotional.onnx"), 'wb') as f: | |
| f.write(response.content) | |
| response = requests.get(URL_TV_EMOTIONAL_ONNX + ".json") | |
| if response.status_code == 200: | |
| with open(os.path.join(BASE_PATH_MODEL, "TV-Emotional.onnx.json"), 'wb') as f: | |
| f.write(response.content) | |
| # --- Download "HESSISCH" TTS model --- # | |
| response = requests.get(URL_TV_HESSISCH_ONNX) | |
| if response.status_code == 200: | |
| with open(os.path.join(BASE_PATH_MODEL, "TV-Hessisch.onnx"), 'wb') as f: | |
| f.write(response.content) | |
| response = requests.get(URL_TV_HESSISCH_ONNX + ".json") | |
| if response.status_code == 200: | |
| with open(os.path.join(BASE_PATH_MODEL, "TV-Hessisch.onnx.json"), 'wb') as f: | |
| f.write(response.content) | |
| ########################### | |
| # MODEL DOWNLOAD FINISHED # | |
| ########################### | |
| hide_streamlit_style = """ | |
| <style> | |
| #MainMenu {visibility: hidden;} | |
| header {visibility: hidden;} | |
| footer {visibility: hidden;} | |
| .st-emotion-cache-1y4p8pa {padding-top: 0rem;} | |
| </style> | |
| """ | |
| st.markdown(hide_streamlit_style, unsafe_allow_html=True) | |
| st.title('Guude! Thorsten-Voice hier 👋') | |
| st.header('Deutsche, kostenlose und hochwertige KI Sprachausgabe (TTS)') | |
| #st.subheader('Wofür?') | |
| st.markdown('Meine künstlichen [Thorsten-Voice](https://www.Thorsten-Voice.de) Stimmen sind für **Content Creator** (Voice Over) geeignet (Youtube Videos/Shorts, Instagram, Tik Tok, ...).' + | |
| ' Für **Schulen**, **Wissenschaft/Forschung, kommerzielle Produkte**,' + | |
| ' **Hobby und Bastelprojekte** und natürlich auch gerne **einfach nur zum Spaß** um witzige **Sprachnachrichten** zu verschicken.') | |
| st.markdown('Hier kannst Du meine künstliche Stimme in verschiedenen Emotionen und mit (Süd)Hessischem Dialekt direkt ausprobieren 😊. Das gefällt Dir? Dann kannst Du meine Stimme' + | |
| ' auch **lokal** und **kostenlos** auf deinem **eigenen Computer** (Windows, Linux, Mac OS und Raspberry Pi OS) benutzen.') | |
| st.markdown('Mehr Infos auf der [Projektwebseite](https://www.Thorsten-Voice.de) und auf meinem [Youtube Kanal](https://www.youtube.com/c/thorstenmueller)') | |
| #st.image('Thorsten-Voice_transparent_klein.png') | |
| with st.form("my_form"): | |
| option = st.selectbox( | |
| 'Wie soll die Stimme klingen?', | |
| ('Normal', 'Fröhlich', 'Wütend', 'Angewidert', 'Betrunken', 'Schläfrig', 'Flüsternd', 'Hessischer Dialekt')) | |
| text = st.text_area("Zu sprechender Text",max_chars=500) | |
| submitted = st.form_submit_button("Sprechen") | |
| if submitted: | |
| with st.spinner("Bitte einen Augenblick Geduld - bin gleich soweit ..."): | |
| filename = tempfile.NamedTemporaryFile(suffix=".wav", delete=False) | |
| # Set Piper TTS command based on choice | |
| PIPER_CMD = os.path.join(BASE_PATH,"piper","piper") | |
| SPEAKER_ID = "0" | |
| match option: | |
| case "Normal": | |
| MODEL = "TV-Neutral.onnx" | |
| case "Hessischer Dialekt": | |
| MODEL = "TV-Hessisch.onnx" | |
| case "Fröhlich": | |
| MODEL = "TV-Emotional.onnx" | |
| SPEAKER_ID = "0" | |
| case "Wütend": | |
| MODEL = "TV-Emotional.onnx" | |
| SPEAKER_ID = "1" | |
| case "Angewidert": | |
| MODEL = "TV-Emotional.onnx" | |
| SPEAKER_ID = "2" | |
| case "Betrunken": | |
| MODEL = "TV-Emotional.onnx" | |
| SPEAKER_ID = "3" | |
| case "Schläfrig": | |
| MODEL = "TV-Emotional.onnx" | |
| SPEAKER_ID = "5" | |
| case "Flüsternd": | |
| MODEL = "TV-Emotional.onnx" | |
| SPEAKER_ID = "7" | |
| cmd = "echo '" + text + "' | " + BASE_PATH + "/piper/piper --model " + os.path.join(BASE_PATH_MODEL, MODEL) + " --speaker " + SPEAKER_ID + " --output_file " + filename.name | |
| result = subprocess.run(cmd, shell=True) | |
| audio_file = open(filename.name, 'rb') | |
| audio_bytes = audio_file.read() | |
| st.audio(audio_bytes,format="audio/wav") | |
| try: | |
| st.download_button('Runterladen', audio_bytes, file_name='Thorsten-Voice.wav') | |
| except: | |
| pass | |
| #st.subheader('Mehr Infos?') | |
| #st.markdown('Möchtest Du mehr über die Möglichkeiten von **Thorsten-Voice** erfahren? Beispielsweise wie Du meine Stimme' + | |
| # ' auch komplett ohne Internet auf deinem PC mit Windows, Linux, Mac OS oder auf dem Raspberry Pi verwendest.'+ | |
| # ' Dann sieh gerne auf der Projektwebseite www.Thorsten-Voice.de nach.') |