Skip to main content

Respeecher real-time TTS plugin for Pipecat

Project description

Pipecat Respeecher Real-Time TTS Integration

PyPI - Version

This is an official Respeecher integration for Pipecat.

Learn more about our real-time TTS API (Україномовна/Ukrainian TTS).

Maintainer: Respeecher

Installation

pip install pipecat-respeecher

Running the Example

example.py is a complete Pipecat pipeline with Respeecher TTS. (See example-ukrainian.py for a Ukrainian language pipeline.) You can use it as a starting point for your agent, or you can head over to Example Snippets if you already have a pipeline and just want to switch TTS.

The complete pipeline example requires a Deepgram API key for Speech-to-Text, OpenRouter API key for LLM, and a Respeecher Space API key. The Speech-to-Text and LLM services are just an example and can generally be swapped for any other supported Pipecat service.

  1. Clone this repository.
  2. Copy env.example to .env and fill in your API keys.
  3. Assuming you have the uv Python package manager installed, run uv run example.py, head over to http://localhost:7860, and click Connect. (The first run of uv run example.py may be slow because uv installs packages and Pipecat downloads local models.) The agent should greet you (both in text and in speech), and you can converse with it through the chat interface or with your microphone. (Make sure you have granted microphone access to the web page and that the microphone button is not in the muted state.)

Example Snippets

Minimal Example

from pipecat_respeecher import RespeecherTTSService

tts = RespeecherTTSService(
    api_key=os.getenv("RESPEECHER_API_KEY"),
    voice_id="samantha",
)

Overriding Sampling Parameters

See the Sampling Parameters Guide.

from pipecat_respeecher import RespeecherTTSService

tts = RespeecherTTSService(
    api_key=os.getenv("RESPEECHER_API_KEY"),
    voice_id="samantha",
    params=RespeecherTTSService.InputParams(
        sampling_params={
            "min_p": 0.01,
        },
    ),
)

Ukrainian Language Model

See Models & Languages.

from pipecat_respeecher import RespeecherTTSService

tts = RespeecherTTSService(
    api_key=os.getenv("RESPEECHER_API_KEY"),
    model="public/tts/ua-rt",
    voice_id="olesia-conversation",
)

Compatibility

This integration requires Pipecat v1.0.0 or newer and has been tested with v1.1.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pipecat_respeecher-1.0.0.tar.gz (250.9 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pipecat_respeecher-1.0.0-py3-none-any.whl (7.6 kB view details)

Uploaded Python 3

File details

Details for the file pipecat_respeecher-1.0.0.tar.gz.

File metadata

  • Download URL: pipecat_respeecher-1.0.0.tar.gz
  • Upload date:
  • Size: 250.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.8.13

File hashes

Hashes for pipecat_respeecher-1.0.0.tar.gz
Algorithm Hash digest
SHA256 ff72f0a0fc4e33bf1cdc54003eabc51a71594fb22c9f9cc460d5a0257c643e62
MD5 7e774e538eadd75c72148cf08c6863a4
BLAKE2b-256 84d6e8a462b0006d9a48dbc0e7ca35ec615f23e9719bfed97990ce672ba29878

See more details on using hashes here.

File details

Details for the file pipecat_respeecher-1.0.0-py3-none-any.whl.

File metadata

File hashes

Hashes for pipecat_respeecher-1.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1e96337a12430b2968f7dc304fe1ea7dcb2256adaa3ab1148ed7f4b927102081
MD5 06b8c4cc7dcc31fae1576cf5148bb190
BLAKE2b-256 fca3dd55e646e4cd2972efd6c148ed5cfd6d8bf1aef8af8c63be5392dc6a6390

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page