import streamlit as st
import subprocess
import tempfile
import sys
import os
from os.path import exists
import requests
from huggingface_hub import HfFolder
import tarfile
from PIL import Image

HF_TOKEN = os.environ.get("HF_TOKEN")

# 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"

# TTS model files
URL_TTS_ONNX = "https://huggingface.co/aslanovaf/tts_vits_azerbaijani/resolve/main/last.onnx"
TMP_PIPER_FILENAME = os.path.join(BASE_PATH, "piper.tgz")

headers = {"Authorization": f"Bearer {HF_TOKEN}"}

##########################
# 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: TTS model files #
#####################################################

# Create "Model" path if not existing
if os.path.exists(BASE_PATH_MODEL) == False:
    os.makedirs(BASE_PATH_MODEL)

    # --- Download TTS model --- #
    response = requests.get(URL_TTS_ONNX, headers=headers) 
    if response.status_code == 200:
        with open(os.path.join(BASE_PATH_MODEL, "last.onnx"), 'wb') as f:
            f.write(response.content)
    else:
        st.markdown(f"Failed to download TTS from {URL_TTS_ONNX} (Status code: {response.status_code})")


    response = requests.get((URL_TTS_ONNX + ".json"), headers=headers) 
    if response.status_code == 200:
        with open(os.path.join(BASE_PATH_MODEL, "last.onnx.json"), 'wb') as f:
            f.write(response.content)
    else:
        st.markdown(f"Failed to download TTS json from {URL_TTS_ONNX}.json (Status code: {response.status_code})")


###########################
# 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('Salam!')
# st.header('Azərbaycan dilində mətni səsə çevirən model (TTS)')

# st.markdown('.')

st.title('Hello!')
st.header('A text-to-speech (TTS) model in Azerbaijani language')

with st.form("my_form"):
   option = st.selectbox(
     'Choose the model.',
     ['Model 1'])

   text = st.text_area("Text to generate audio from:",max_chars=500)
   submitted = st.form_submit_button("Submit")
   
   if submitted:
    with st.spinner("Please, wait... :)"):
        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 = "last.onnx"

        match option:
            case "Model 1":
                MODEL = "last.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('Download audio', audio_bytes, file_name='TTS-Voice.wav')
except:
    pass