qvin / phoenix10.1

Creates a personalized radio station with your own radio jockey!

Phoenix10.1

Phoenix10.1 is a software to generate personalized pre-recorded internet radios that has a text-to-speech based radio jockey.

Here's a demo to understand what it sounds like!

What can it do?

This radio jockey can play your requested songs, tell you about the weather, and convey the daily news. To give it a more radio like feel, it also tells advertisements (from fictional companies, of course!), conducts a daily QnA with the audience, and tells some "On this day..." facts.

Installation

It is recommended to use Python 3.7 or newer to run the code.

This software requires ffmpeg and espeak. To install them on MacOS:

brew install ffmpeg espeak

To install them on Linux (Debain-based):

sudo apt-get install ffmpeg espeak

To install the Python dependencies, use:

pip3 install -r ./requirements.txt

The software also requires installing punkt from nltk. In a Python shell, use the following code to install punkt:

import nltk
nltk.download("punkt")

To generate TTS (text-to-speech), Coqui-ai's vits model is used. We recommend running a generic TTS command on your shell as this will prompt TTS to automatically install the vits model.

tts --text "I am excited to demo Phoenix ten point one" --model_name tts_models/en/vctk/vits --speaker_idx p267 --out_path temp.wav

The vits model requires around 110 MB of storage.

Creating your radio broadcast

To create your own radio, start by updating the default schema in ./data/schema.json.

Each action in schema.json is a list with two indices, one mentions the action and another mentions the characteristic of that action. Actions available are:

• up
  • routine to start the radio broadcast
  • characteristic value is ignored
• music
  • fetches and streams music
  • characteristic should contain list of song names
• weather
  • broadcasts the weather
  • characteristic should contain city name. Use null to fetch weather using your IP address.
• news
  • broadcasts the news using rss feeds. The rss feeds can be updated in ./data/rss.json.
  • characteristic should be a list of the format [category, num_of_news_items]
• fun
  • broadcasts a On this day... fact
  • characteristic is ignored
• end
  • routine to end the broadcast
  • characteristic is ignored

As of yet, the fictional advertisements and daily QnA cannot be configured and are present in every broadcast.

Run

Once schema.json is configured, run the software using:

python3 radio.py

Your entire broadcast would be stored in a radio.mp3 file.

License

The code is open-sourced under the MIT License.

Acknowledgements

Every software stands on the shoulders of giants, and this is no different!

• The authors would like to thank Coqui-ai and their work on TTS (licensed under Mozilla Public License 2.0).
• The logic to generate random identities is from rig and the names database (fnames.txt, lnames.txt, locdata.txt) is from the US Census database.
• The background music is Woke up this Morning Theme by Lobo Loco and is licensed under a Attribution-ShareAlike 4.0 International License.
• The questions are from icebreakers which is licensed under MIT License. The responses were manually curated from character.ai. From their TOS:
  • As to a user interacting with a Character created by another user or by Character AI, the user who elicits the Generations from a Character owns all rights in those Generations and grants to Character AI a nonexclusive, worldwide, royalty-free, fully paid up, transferable, sublicensable, perpetual, irrevocable license to copy, display, upload, perform, distribute, store, modify and otherwise use any Generations.
• The Logo was generated using Open AI's Dall-E 2.