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aiexperiments-ai-duet/server/magenta/models
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Add Dockerfile; fix predict.py and server.py
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README.md

Models

This directory contains the various Magenta models.

Generators

All generators for NoteSequence-based models should expose their generator functionality by implementing the BaseSequenceGenerator abstract class defined in lib/sequence_generator.py. This allows all generators to communicate with a standard protocol (defined in protobuf/genator.proto) and will make it easier for various interfaces (e.g., MIDI controllers) to communicate with any model.

Note that the Melody models share a common implementation of the BaseSequenceGenerator interface in MelodyRnnSequenceGenerator, which they then invoke using the generate scripts in each model's directory (e.g., attention_rnn_generate.py).