change import statements

layers/attention.py

@@ -1,7 +1,7 @@
 import torch
 from torch import nn
 from torch.nn import functional as F
-from utils.generic_utils import sequence_mask
+from TTS.utils.generic_utils import sequence_mask
 
 
 class BahdanauAttention(nn.Module):

models/tacotron.py

@@ -1,7 +1,7 @@
 # coding: utf-8
 import torch
 from torch import nn
-from utils.text.symbols import symbols
+from TTS.utils.text.symbols import symbols
 from layers.tacotron import Prenet, Encoder, Decoder, PostCBHG
 
 

setup.py

@@ -72,7 +72,7 @@ setup(
     },
     setup_requires=["numpy==1.14.3"],
     install_requires=[
-        "scipy==0.19.0",
+        "scipy >=0.19.0",
         "torch >= 0.4.1",
         "librosa==0.5.1",
         "unidecode==0.4.20",

utils/generic_utils.py

@@ -11,7 +11,7 @@ import subprocess
 import numpy as np
 from collections import OrderedDict
 from torch.autograd import Variable
-from utils.text import text_to_sequence
+from TTS.utils.text import text_to_sequence
 
 
 class AttrDict(dict):

utils/text/__init__.py

@@ -1,8 +1,8 @@
 # -*- coding: utf-8 -*-
 
 import re
-from utils.text import cleaners
-from utils.text.symbols import symbols
+from TTS.utils.text import cleaners
+from TTS.utils.text.symbols import symbols
 
 # Mappings from symbol to numeric ID and vice versa:
 _symbol_to_id = {s: i for i, s in enumerate(symbols)}

utils/text/symbols.py

@@ -5,7 +5,7 @@ Defines the set of symbols used in text input to the model.
 The default is a set of ASCII characters that works well for English or text that has been run
 through Unidecode. For other data, you can modify _characters. See TRAINING_DATA.md for details.
 '''
-from utils.text import cmudict
+from TTS.utils.text import cmudict
 
 _pad = '_'
 _eos = '~'