Pipecat Respeecher Real-Time TTS Integration
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.
- Clone this repository.
- Copy
env.exampleto.envand fill in your API keys. - 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 ofuv run example.pymay 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"),
settings=RespeecherTTSService.Settings(
voice="samantha",
),
)
Overriding Sampling Parameters
See the Sampling Parameters Guide.
from pipecat_respeecher import RespeecherTTSService
tts = RespeecherTTSService(
api_key=os.getenv("RESPEECHER_API_KEY"),
settings=RespeecherTTSService.Settings(
voice="samantha",
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"),
settings=RespeecherTTSService.Settings(
voice="olesia-conversation",
model="public/tts/ua-rt",
),
)
Compatibility
This integration requires Pipecat v1.1.0 or newer and has been tested with v1.1.0.
Metadata
Release files for pipecat-respeecher 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pipecat_respeecher-1.0.2.tar.gz | 248.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pipecat_respeecher-1.0.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 256.0 kB
Release files / pipecat_respeecher-1.0.2.tar.gz
| Download URL | pipecat_respeecher-1.0.2.tar.gz |
|---|---|
| Size | 248.1 kB |
| Tags | Source |
|
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Release files / pipecat_respeecher-1.0.2-py3-none-any.whl
| Download URL | pipecat_respeecher-1.0.2-py3-none-any.whl |
|---|---|
| Size | 7.9 kB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
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