Deepy is a free, open-source Multiskill AI Assistant built using DeepPavlov Conversational AI Stack. It is built on top of DeepPavlov Agent running as container in Docker. It runs on x86_64 machines, and prefers having NVIDIA GPUs on the machine.

Why Deepy?

Deepy was inspired by Gerty 3000, a moonbase A.I. Assistant from the Moon Movie made by Duncan Jones.

Official wiki is located here: Deepy Wiki.

You can find distributions in the /assistant_dists subdirectory of the repository. Learn more about distributions here: Distributions

1. Clone repository
2. Switch to its directory: cd deepy
3. Build and run it: docker-compose up --build

DeepPavlov's Agent API will run on `http://localhost:4242'. You can learn about its API from the DeepPavlov Agent Docs

All dialogs will be saved in dp-agent database running in mongo container.

You can talk to the system through CLI by using these commands:

$: docker-compose exec agent bash

$(inside docker): python -m deeppavlov_agent.run

Then you'll have to supply user's name, and you'll be able to talk to the machine

You can add custom docker-compose file called asr_tts.yml located in /assistant_dists subdirectory to your docker-compose command like this:

docker-compose -f docker-compose.yml -f assistant_dists/asr_tts.yml up --build

After that you'll be able to interact with Deepy through the ASR service to provide speech input via its http://_service_name_:4343/asr?user_id= endpoint. Attach recorded voice as a .wav file, 16KHz.

You can use either NeMo or Clone TTS service by sending batches of text phrases to its http://_tts_service_name:_tts_service_port_/tts?text=_your_text_here_ endpoint.

IMPORTANT This project isn't related to ours, though we'd be thrilled for it to run our Deepy! )

Read more in Markus Wobisch's Blog