# Theoretical Upgrade Test
import wave
from piper.voice import PiperVoice # Backbone of text to speech
import pyaudio
from subprocess import run
Print(run('xsel --clipboard').read()) # In Theory grab selected text into Varible cakked TextToSpeak)  # In Theory grab selected text and print ot to terminal

# texttospeak = run('xsel --clipboard') # In Theory grab selected text into Var called TextToSpeak

texttospeak = "Welcome to the world of speech synthesis! This is an example of text-to-speech using Piper TTS."

voice = PiperVoice.load("~/en_US-amy-medium.onnx") # Load the model

voicedir = os.path.expanduser('~') #Where onnx model files are stored on my machine
model = voicedir+"en_GB-alba-medium.onnx"
voice = PiperVoice.load(model)
    
chunks = voice.synthesize(texttospeak) # Set up Piper to stream audio from TextToSpeak
first_chunk = next(chunks) # Get the first chunk to set up audio stream configuration

p = pyaudio.PyAudio()
stream = p.open( # Open audio stream with correct settings
    format=p.get_format_from_width(first_chunk.sample_width),
    channels=first_chunk.sample_channels,
    rate=first_chunk.sample_rate,
    output=True,
)

stream.write(first_chunk.audio_int16_bytes) # Play the first chunk

for chunk in chunks: # Play subsequent chunks of audio
    stream.write(chunk.audio_int16_bytes)

# Cleanup
stream.stop_stream()
stream.close()
p.terminate()