Spotty Configuration

docker/Dockerfile.spotty

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+FROM tensorflow/tensorflow:1.13.1-gpu-py3-jupyter
+
+# install a pyaudio dependency
+RUN apt-get update \
+    && apt-get install -y portaudio19-dev \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
+
+# install requirements
+COPY requirements-spotty.txt requirements-spotty.txt
+RUN pip3 install -r requirements-spotty.txt

docker/requirements-spotty.txt

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+falcon==1.2.0
+inflect==0.2.5
+audioread==2.1.5
+librosa==0.5.1
+matplotlib==2.0.2
+numpy==1.14.0
+scipy==1.0.0
+tqdm==4.11.2
+Unidecode==0.4.20
+pyaudio==0.2.11
+sounddevice==0.3.10
+lws
+keras

spotty.yaml

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+project:
+  name: tacotron
+  syncFilters:
+    - exclude:
+        - .idea/*
+        - .git/*
+        - '*/__pycache__/*'
+        - training_data/*
+
+container:
+  projectDir: /workspace/project
+  file: docker/Dockerfile.spotty
+  ports: [6006, 8888]
+  volumeMounts:
+    - name: workspace
+      mountPath: /workspace
+
+instances:
+  - name: i1
+    provider: aws
+    parameters:
+      region: us-east-2
+      instanceType: p2.xlarge
+      dockerDataRoot: /docker
+      volumes:
+        - name: workspace
+          parameters:
+            size: 50
+            deletionPolicy: retain
+        - name: docker
+          parameters:
+            size: 10
+            mountDir: /docker
+            deletionPolicy: retain
+
+scripts:
+  preprocess: |
+    curl -O http://data.keithito.com/data/speech/LJSpeech-1.1.tar.bz2
+    tar xvjf LJSpeech-1.1.tar.bz2
+    rm LJSpeech-1.1.tar.bz2
+    python preprocess.py
+  train: |
+    python train.py --model='Tacotron-2'
+  tensorboard: |
+    tensorboard --logdir /workspace/project/logs-Tacotron-2
+  jupyter: |
+    jupyter notebook --allow-root --ip 0.0.0.0 --notebook-dir=/workspace/project