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 = """ """ st.markdown(hide_streamlit_style, unsafe_allow_html=True) st.title('Guude! 👋') st.header('Kostenlose deutsche Sprachausgabe - Dank "Thorsten-Voice"') st.subheader('Wofür?') st.markdown('Die künstlichen [Thorsten-Voice](https://www.Thorsten-Voice.de) Stimmen sind für **Voice Over und Social Media Content Creator** mit Youtube Videos/Shorts, Instagram, Tik Tok, ... geeignet.' + ' Für eine andere künstliche Sprachausgabe in **Sprachassistenten**,' + ' für **Hobby und Bastelprojekte** oder natürlich auch gerne **einfach nur zum Spaß** um witzige **Sprachnachrichten** zu verschicken.') #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 Gedult - 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.')