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Sarvam

Use Sarvam AI for Indian language Text-to-Speech (TTS), Speech-to-Text (STT), Translation, and Chat.

Rating: 3.9 (50 reviews)
Downloads: 11,003 downloads
Version: 1.0.0

Overview

Use Sarvam AI for Indian language Text-to-Speech (TTS), Speech-to-Text (STT), Translation, and Chat.

Complete Documentation

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Sarvam AI Skill

This skill provides access to Sarvam AI's suite of Indian language models.

Usage

Text to Speech (TTS)

Generate speech from text in various Indian languages.

bash

python skills/sarvam/scripts/sarvam_cli.py tts "Namaste, kaise hain aap?" --lang hi-IN --speaker meera --output hello.wav

Parameters:

text: The text to speak.
--lang: Language code (e.g., hi-IN for Hindi, bn-IN for Bengali, etc.).
--speaker: Voice ID (e.g., meera, pavithra, arvind).
--output: Output file path (default: output.wav).

Speech to Text (STT)

Transcribe audio files.

bash

python skills/sarvam/scripts/sarvam_cli.py stt path/to/audio.wav --model saaras:v3

Parameters:

file: Path to the audio file (wav, mp3).
--model: Model to use (default: saaras:v3).
--mode: STT Mode: transcribe (default), translate (to English), verbatim, translit, codemix.

Translation

Translate text between Indian languages and English.

bash

python skills/sarvam/scripts/sarvam_cli.py translate "Hello, how are you?" --source en-IN --target hi-IN

Parameters:

text: Text to translate.
--source: Source language code.
--target: Target language code.

Chat

Interact with Sarvam's LLM (sarvam-2g).

bash

python skills/sarvam/scripts/sarvam_cli.py chat "What is the capital of India?"

Parameters:

message: User message.
--model: Model to use (default: sarvam-2g).
--system: Optional system prompt.

Setup

Environment Variable:

Ensure your API key is set in .env (already done for this workspace):

bash

SARVAM_API_KEY="sk_..."

Virtual Environment:

The skill uses a local virtual environment at skills/sarvam/.venv. Dependencies (requests) are pre-installed here.

Usage

Use the virtual environment's Python to run commands:

Text to Speech (TTS)

bash

skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py tts "Namaste, kaise hain aap?" --lang hi-IN --speaker meera --output hello.wav

Speech to Text (STT)

bash

skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py stt path/to/audio.wav --model saaras:v3

Translation

bash

skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py translate "Hello, how are you?" --source en-IN --target hi-IN

Chat

bash

skills/sarvam/.venv/bin/python skills/sarvam/scripts/sarvam_cli.py chat "What is the capital of India?"

Installation

Terminal bash


openclaw install sarvam

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💻Code Examples

python skills/sarvam/scripts/sarvam_cli.py tts "Namaste, kaise hain aap?" --lang hi-IN --speaker meera --output hello.wav

python-skillssarvamscriptssarvamclipy-tts-namaste-kaise-hain-aap---lang-hi-in---speaker-meera---output-hellowav.txt

**Parameters:**
- `text`: The text to speak.
- `--lang`: Language code (e.g., `hi-IN` for Hindi, `bn-IN` for Bengali, etc.).
- `--speaker`: Voice ID (e.g., `meera`, `pavithra`, `arvind`).
- `--output`: Output file path (default: `output.wav`).

### Speech to Text (STT)

Transcribe audio files.

python skills/sarvam/scripts/sarvam_cli.py stt path/to/audio.wav --model saaras:v3

python-skillssarvamscriptssarvamclipy-stt-pathtoaudiowav---model-saarasv3.txt

**Parameters:**
- `file`: Path to the audio file (wav, mp3).
- `--model`: Model to use (default: `saaras:v3`).
- `--mode`: STT Mode: `transcribe` (default), `translate` (to English), `verbatim`, `translit`, `codemix`.

### Translation

Translate text between Indian languages and English.

python skills/sarvam/scripts/sarvam_cli.py translate "Hello, how are you?" --source en-IN --target hi-IN

python-skillssarvamscriptssarvamclipy-translate-hello-how-are-you---source-en-in---target-hi-in.txt

**Parameters:**
- `text`: Text to translate.
- `--source`: Source language code.
- `--target`: Target language code.

### Chat

Interact with Sarvam's LLM (sarvam-2g).

python skills/sarvam/scripts/sarvam_cli.py chat "What is the capital of India?"

python-skillssarvamscriptssarvamclipy-chat-what-is-the-capital-of-india.txt

**Parameters:**
- `message`: User message.
- `--model`: Model to use (default: `sarvam-2g`).
- `--system`: Optional system prompt.

## Setup

1.  **Environment Variable:**
    Ensure your API key is set in `.env` (already done for this workspace):