Create app.py

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"
+
+ONNX = "https://huggingface.co/Rikels/piper-dutch/resolve/main/anna.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(ONNX) 
+    if response.status_code == 200:
+        with open(os.path.join(BASE_PATH_MODEL, "anna.onnx"), 'wb') as f:
+            f.write(response.content)
+
+    response = requests.get(ONNX + ".json") 
+    if response.status_code == 200:
+        with open(os.path.join(BASE_PATH_MODEL, "anna.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 clone hier 👋')
+st.header('Clone van Thorsten-voice's App (TTS)')
+
+#st.subheader('Hoi?')
+st.markdown('Mehr Infos auf der [Projektwebseite](https://www.Thorsten-Voice.de) und auf meinem [Youtube Kanal](https://www.youtube.com/c/thorstenmueller)')
+
+with st.form("my_form"):
+  
+   text = st.text_area("Wat wil je dit model laten zeggen?",max_chars=500)
+   submitted = st.form_submit_button("Zeg dan!")
+   
+   if submitted:
+    with st.spinner("ekkes wachten..."):
+        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"
+        MODEL = "anna.onnx"
+
+        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('Downloaden', audio_bytes, file_name='Thorsten-Voice-clone.wav')
+except:
+    pass