Initial commit

app.py

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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! 👋')
+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.')

requirements.txt

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+requests
+streamlit