mirror of https://github.com/coqui-ai/TTS.git
74 lines
3.0 KiB
Python
74 lines
3.0 KiB
Python
#!flask/bin/python
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import argparse
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import os
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from flask import Flask, request, render_template, send_file
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from TTS.server.synthesizer import Synthesizer
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def create_argparser():
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def convert_boolean(x):
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return x.lower() in ['true', '1', 'yes']
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parser = argparse.ArgumentParser()
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parser.add_argument('--tts_checkpoint', type=str, help='path to TTS checkpoint file')
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parser.add_argument('--tts_config', type=str, help='path to TTS config.json file')
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parser.add_argument('--tts_speakers', type=str, help='path to JSON file containing speaker ids, if speaker ids are used in the model')
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parser.add_argument('--wavernn_lib_path', type=str, default=None, help='path to WaveRNN project folder to be imported. If this is not passed, model uses Griffin-Lim for synthesis.')
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parser.add_argument('--wavernn_file', type=str, default=None, help='path to WaveRNN checkpoint file.')
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parser.add_argument('--wavernn_config', type=str, default=None, help='path to WaveRNN config file.')
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parser.add_argument('--is_wavernn_batched', type=convert_boolean, default=False, help='true to use batched WaveRNN.')
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parser.add_argument('--pwgan_lib_path', type=str, help='path to ParallelWaveGAN project folder to be imported. If this is not passed, model uses Griffin-Lim for synthesis.')
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parser.add_argument('--pwgan_file', type=str, help='path to ParallelWaveGAN checkpoint file.')
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parser.add_argument('--pwgan_config', type=str, help='path to ParallelWaveGAN config file.')
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parser.add_argument('--port', type=int, default=5002, help='port to listen on.')
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parser.add_argument('--use_cuda', type=convert_boolean, default=False, help='true to use CUDA.')
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parser.add_argument('--debug', type=convert_boolean, default=False, help='true to enable Flask debug mode.')
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return parser
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synthesizer = None
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embedded_model_folder = os.path.join(os.path.dirname(os.path.realpath(__file__)), 'model')
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checkpoint_file = os.path.join(embedded_model_folder, 'checkpoint.pth.tar')
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config_file = os.path.join(embedded_model_folder, 'config.json')
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# Default options with embedded model files
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if os.path.isfile(checkpoint_file):
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default_tts_checkpoint = checkpoint_file
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else:
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default_tts_checkpoint = None
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if os.path.isfile(config_file):
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default_tts_config = config_file
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else:
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default_tts_config = None
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args = create_argparser().parse_args()
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# If these were not specified in the CLI args, use default values
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if not args.tts_checkpoint:
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args.tts_checkpoint = default_tts_checkpoint
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if not args.tts_config:
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args.tts_config = default_tts_config
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synthesizer = Synthesizer(args)
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app = Flask(__name__)
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@app.route('/')
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def index():
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return render_template('index.html')
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@app.route('/api/tts', methods=['GET'])
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def tts():
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text = request.args.get('text')
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print(" > Model input: {}".format(text))
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data = synthesizer.tts(text)
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return send_file(data, mimetype='audio/wav')
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if __name__ == '__main__':
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app.run(debug=args.debug, host='0.0.0.0', port=args.port)
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