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98d2b24cba
* Add Sarvam LLM provider, update Sarvam STT models, expose usage_info on run detail. Depends on pipecat PR dograh-hq/pipecat#43 for STT string language support. Submodule bump will follow after that merges. * test: cover Sarvam STT language mapping; link Sarvam docs --------- Co-authored-by: Sabiha Khan <sabihak89@gmail.com>
100 lines
1.6 KiB
Python
100 lines
1.6 KiB
Python
SARVAM_TTS_MODELS = ("bulbul:v2", "bulbul:v3")
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SARVAM_V2_VOICES = (
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"anushka",
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"manisha",
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"vidya",
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"arya",
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"abhilash",
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"karun",
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"hitesh",
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)
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SARVAM_V3_VOICES = (
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"shubh",
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"aditya",
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"ritu",
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"priya",
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"neha",
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"rahul",
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"pooja",
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"rohan",
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"simran",
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"kavya",
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"amit",
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"dev",
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"ishita",
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"shreya",
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"ratan",
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"varun",
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"manan",
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"sumit",
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"roopa",
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"kabir",
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"aayan",
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"ashutosh",
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"advait",
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"amelia",
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"sophia",
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"anand",
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"tanya",
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"tarun",
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"sunny",
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"mani",
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"gokul",
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"vijay",
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"shruti",
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"suhani",
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"mohit",
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"kavitha",
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"rehan",
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"soham",
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"rupali",
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)
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SARVAM_LANGUAGES = (
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"bn-IN",
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"en-IN",
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"gu-IN",
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"hi-IN",
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"kn-IN",
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"ml-IN",
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"mr-IN",
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"od-IN",
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"pa-IN",
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"ta-IN",
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"te-IN",
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"as-IN",
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)
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SARVAM_STT_MODELS = ("saarika:v2.5", "saaras:v3")
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# saarika:v2.5 language codes (unknown = auto-detect)
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SARVAM_STT_LANGUAGES_V25 = (
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"unknown",
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"hi-IN",
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"bn-IN",
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"gu-IN",
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"kn-IN",
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"ml-IN",
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"mr-IN",
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"od-IN",
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"pa-IN",
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"ta-IN",
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"te-IN",
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"en-IN",
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)
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# saaras:v3 adds these regional languages on top of the v2.5 set. Full list: https://docs.sarvam.ai/api-reference-docs/speech-to-text/transcribe
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SARVAM_STT_LANGUAGES_V3 = SARVAM_STT_LANGUAGES_V25 + (
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"as-IN",
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"ur-IN",
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"ne-IN",
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"kok-IN",
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"ks-IN",
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"sd-IN",
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"sa-IN",
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"sat-IN",
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"mni-IN",
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"brx-IN",
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"mai-IN",
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"doi-IN",
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)
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SARVAM_LLM_MODELS = (
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"sarvam-30b",
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"sarvam-105b",
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)
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