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Sarvam AI TTS

The Sarvam AI TTS provider enables your agent to use Sarvam AI's text-to-speech models for generating voice output.

Installation​

Install the Sarvam AI-enabled VideoSDK Agents package:

pip install "videosdk-plugins-sarvamai"

Importing​

from videosdk.plugins.sarvamai import SarvamAITTS

Example Usage​

from videosdk.plugins.sarvamai import SarvamAITTS
from videosdk.agents import CascadingPipeline

# Initialize the Sarvam AI TTS model
tts = SarvamAITTS(
# When SARVAMAI_API_KEY is set in .env - DON'T pass api_key parameter
api_key="your-sarvam-ai-api-key",
model="bulbul:v2",
speaker="anushka",
target_language_code="en-IN",
pitch=0.0,
pace=1.0,
loudness=1.2
)

# Add tts to cascading pipeline
pipeline = CascadingPipeline(tts=tts)
note

When using .env file for credentials, don't pass them as arguments to model instances or context objects. The SDK automatically reads environment variables, so omit api_key and other credential parameters from your code.

Configuration Options​

  • api_key: (str) Your Sarvam AI API key. Can also be set via the SARVAMAI_API_KEY environment variable.
  • model: (str) The Sarvam AI model to use (default: "bulbul:v2").
  • speaker: (str) The speaker voice to use (default: "anushka").
  • target_language_code: (str) The language code for the generated audio (default: "en-IN").
  • pitch: (float) The pitch of the generated audio (default: 0.0).
  • pace: (float) The pace or speed of the generated audio (default: 1.0).
  • loudness: (float) The loudness of the generated audio (default: 1.2).
  • enable_preprocessing: (bool) Whether to enable text preprocessing on the server (default: True).

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