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Update app.py
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app.py
CHANGED
@@ -14,6 +14,12 @@ import numpy as np
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torch.manual_seed(1234)
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MAX_WAV_VALUE = 32768.0
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# load trained tacotron2 + GST model:
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model = load_model(hparams)
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checkpoint_path = "trained_models/checkpoint_78000.model"
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torch.manual_seed(1234)
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MAX_WAV_VALUE = 32768.0
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DESCRIPTION = """# Single-Head Attention Tacotron2 with Global Style Tokens
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This is a Tacotron2 model based on the NVIDIA's model plus three unsupervised Global Style Tokens (GST).
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The whole architecture has been trained from scratch with the LJSpeech dataset. In order to control the relevance
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of each style token, we configured the attention module as a single-head.
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"""
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# load trained tacotron2 + GST model:
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model = load_model(hparams)
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checkpoint_path = "trained_models/checkpoint_78000.model"
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