Addresses r9y9/wavenet_vocoder#117 and r9y9/wavenet_vocoder#121

Author: r9y9

Tacotron2_and_WaveNet_text_to_speech_demo.ipynb

@@ -42,7 +42,7 @@
         "\n",
         "This is a proof of concept for Tacotron2 text-to-speech synthesis. Models used here were trained on [LJSpeech dataset](https://keithito.com/LJ-Speech-Dataset/).\n",
         "\n",
-        "**Notice**: The waveform generation is super slow since it implements naive autoregressive generation. It doesn't use the method described in [Parallel WaveNet](https://arxiv.org/abs/1711.10433). \n",
+        "**Notice**: The waveform generation is super slow since it implements naive autoregressive generation. It doesn't use parallel generation method described in [Parallel WaveNet](https://arxiv.org/abs/1711.10433). \n",
         "\n",
         "**Estimated time to complete**: 2 ~ 3 hours."
       ]
@@ -70,6 +70,8 @@
         "import os\n",
         "from os.path import exists, join, expanduser\n",
         "\n",
+        "os.chdir(expanduser(\"~\"))\n",
+        "\n",
         "wavenet_dir = \"wavenet_vocoder\"\n",
         "if not exists(wavenet_dir):\n",
         "  ! git clone https://github.com/r9y9/$wavenet_dir\n",
@@ -91,7 +93,7 @@
       "cell_type": "code",
       "source": [
         "# Install dependencies\n",
-        "# ! pip install -q --upgrade \"tensorflow-gpu==1.6.0\"\n",
+        "! pip install -q --upgrade \"tensorflow<=1.9.0\"\n",
         "\n",
         "os.chdir(join(expanduser(\"~\"), taco2_dir))\n",
         "! pip install -q -r requirements.txt\n",