118 lines
3.2 KiB
Python
118 lines
3.2 KiB
Python
import sys
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import os
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import time
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import base64
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import torch
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import soundfile
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from glados_tts.utils.tools import prepare_text
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print("\033[1;94mINFO:\033[;97m Initializing TTS Engine...")
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# Select the device
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if torch.is_vulkan_available():
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device = 'vulkan'
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if torch.cuda.is_available():
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device = 'cuda'
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else:
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device = 'cpu'
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# Load models
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if __name__ == "__main__":
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glados = torch.jit.load('models/glados.pt')
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vocoder = torch.jit.load('models/vocoder-gpu.pt', map_location=device)
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else:
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glados = torch.jit.load('glados_tts/models/glados.pt')
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vocoder = torch.jit.load('glados_tts/models/vocoder-gpu.pt', map_location=device)
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# Prepare models in RAM
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for i in range(4):
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init = glados.generate_jit(prepare_text(str(i)))
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init_mel = init['mel_post'].to(device)
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init_vo = vocoder(init_mel)
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def glados_tts(text, key=False):
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# Tokenize, clean and phonemize input text
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x = prepare_text(text).to('cpu')
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with torch.no_grad():
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# Generate generic TTS-output
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old_time = time.time()
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tts_output = glados.generate_jit(x)
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# Use HiFiGAN as vocoder to make output sound like GLaDOS
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mel = tts_output['mel_post'].to(device)
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audio = vocoder(mel)
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print("\033[1;94mINFO:\033[;97m The audio sample took " +
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str(round((time.time() - old_time) * 1000)) + " ms to generate.")
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# Normalize audio to fit in wav-file
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audio = audio.squeeze()
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audio = audio * 32768.0
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audio = audio.cpu().numpy().astype('int16')
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if (key):
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output_file = ('audio/output.wav')
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else:
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output_file = ('audio/output.wav')
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# Write audio file to disk
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# 22,05 kHz sample rate
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soundfile.write(output_file, audio, 22050)
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enc = base64.b64encode(open(output_file, "rb").read())
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return enc
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# If the script is run directly, assume remote engine
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if __name__ == "__main__":
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# Remote Engine Veritables
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PORT = 8124
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CACHE = True
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from flask import Flask, request, send_file
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import urllib.parse
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import shutil
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print("\033[1;94mINFO:\033[;97m Initializing TTS Server...")
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app = Flask(__name__)
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@app.route('/synthesize/', defaults={'text': 'testingHere'})
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@app.route('/synthesize/<path:text>')
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def synthesize(text):
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if (text == ''):
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return 'No input'
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line = urllib.parse.unquote(request.url[request.url.find('synthesize/')+11:])
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filename = "GLaDOS-tts-"+line.replace(" ", "-")
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filename = filename.replace("!", "")
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filename = filename.replace("°c", "degrees celcius")
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filename = filename.replace(",", "")+".wav"
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file = os.getcwd()+'/audio/'+filename
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# Check for Local Cache
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if (os.path.isfile(file)):
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# Update access time. This will allow for routine cleanups
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os.utime(file, None)
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print("\033[1;94mINFO:\033[;97m The audio sample sent from cache.")
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return send_file(file)
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# Generate New Sample
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key = str(time.time())[7:]
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if (True):
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return glados_tts(line, key)
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else:
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return 'TTS Engine Failed'
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cli = sys.modules['flask.cli']
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cli.show_server_banner = lambda *x: None
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app.run(host="0.0.0.0", port=PORT)
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