Carlos Ruiz Ballesteros
GitHub
commit
1d2da2e10d
259
community/agent-speech-processing.yaml
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259
community/agent-speech-processing.yaml
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# Docker image of the agent.
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docker_image: docker.io/openvidu/agent-speech-processing:3.3.0
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# Whether to run the agent or not.
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enabled: false
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live_captions:
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# How this agent will connect to Rooms [automatic, manual]
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# - automatic: the agent will automatically connect to new Rooms.
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# - manual: the agent will connect to new Rooms only when your application dictates it by using the Agent Dispatch API.
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processing: automatic
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# Which speech-to-text AI provider to use [aws, azure, google, opeanai, groq, deepgram, assemblyai, fal, clova, speechmatics, gladia, sarvam]
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# The custom configuration for the selected provider must be set below
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provider:
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aws:
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# Credentials for AWS Transcribe. See https://docs.aws.amazon.com/transcribe/latest/dg/what-is.html
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aws_access_key_id:
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aws_secret_access_key:
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aws_default_region:
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# See https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html
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language:
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# The name of the custom vocabulary you want to use.
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# See https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary.html
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vocabulary_name:
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# The name of the custom language model you want to use.
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# See https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models-using.html
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language_model_name:
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# Whether or not to enable partial result stabilization. Partial result stabilization can reduce latency in your output, but may impact accuracy.
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# See https://docs.aws.amazon.com/transcribe/latest/dg/streaming-partial-results.html#streaming-partial-result-stabilization
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enable_partial_results_stabilization:
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# Specify the level of stability to use when you enable partial results stabilization (enable_partial_results_stabilization: true). Valid values: high | medium | low
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# See https://docs.aws.amazon.com/transcribe/latest/dg/streaming-partial-results.html#streaming-partial-result-stabilization
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partial_results_stability:
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# The name of the custom vocabulary filter you want to use to mask or remove words.
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# See https://docs.aws.amazon.com/transcribe/latest/dg/vocabulary-filtering.html
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vocab_filter_name:
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# The method used to filter the vocabulary. Valid values: mask | remove | tag
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# See https://docs.aws.amazon.com/transcribe/latest/dg/vocabulary-filtering.html
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vocab_filter_method:
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azure:
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# Credentials for Azure Speech Service.
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# One of these combinations must be set:
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# - speech_host
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# - speech_key + speech_region
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# - speech_auth_token + speech_region
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# See https://learn.microsoft.com/en-us/azure/ai-services/speech-service/get-started-speech-to-text?tabs=macos%2Cterminal&pivots=programming-language-python#prerequisites
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speech_host:
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speech_key:
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speech_auth_token:
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speech_region:
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# Azure handles multiple languages and can auto-detect the language used. It requires the candidate set to be set. E.g. ["en-US", "es-ES"]
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# See https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=stt#supported-languages
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language:
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# Removes profanity (swearing), or replaces letters of profane words with stars. Valid values: Masked | Removed | Raw
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# See https://learn.microsoft.com/en-us/azure/ai-services/translator/profanity-filtering
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profanity:
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azure_openai:
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# Credentials for Azure OpenAI APIs. See https://learn.microsoft.com/en-us/azure/api-management/api-management-authenticate-authorize-azure-openai
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# Azure OpenAI API key
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azure_api_key:
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# Azure Active Directory token
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azure_ad_token:
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# Azure OpenAI endpoint in the following format: https://{your-resource-name}.openai.azure.com. Mandatory value.
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azure_endpoint:
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# Name of your model deployment. If given with `azure_endpoint`, sets the base client URL to include `/deployments/{azure_deployment}`.
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azure_deployment:
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# OpenAI REST API version used for the request. Mandatory value.
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api_version:
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# OpenAI organization ID.
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organization:
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# OpenAI project ID.
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project:
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# The language code to use for transcription (e.g., "en" for English).
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language:
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# ID of the model to use for speech-to-text.
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model:
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# Initial prompt to guide the transcription.
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prompt:
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google:
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# Credentials for Google Cloud. This is the content of a Google Cloud credential JSON file.
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# Below is a dummy example for a credential type of "Service Account" (https://cloud.google.com/iam/docs/service-account-creds#key-types)
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credentials_info: |
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{
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"type": "service_account",
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"project_id": "my-project",
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"private_key_id": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
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"private_key": "-----BEGIN PRIVATE KEY-----\nxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n-----END PRIVATE KEY-----\n",
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"client_email": "my-email@my-project.iam.gserviceaccount.com",
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"client_id": "xxxxxxxxxxxxxxxxxxxxx",
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"auth_uri": "https://accounts.google.com/o/oauth2/auth",
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"token_uri": "https://oauth2.googleapis.com/token",
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"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
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"client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/my-email%40my-project.iam.gserviceaccount.com",
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"universe_domain": "googleapis.com"
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}
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# Which model to use for recognition. If not set, uses the default model for the selected language.
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# See https://cloud.google.com/speech-to-text/docs/transcription-model
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model:
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# The location to use for recognition. Default is "us-central1". Latency will be best if the location is close to your users.
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# Check supported languages and locations at https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages
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location:
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# List of language codes to recognize. Default is ["en-US"].
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# See https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages
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languages:
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# Whether to detect the language of the audio. Default is true.
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detect_language:
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# If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this
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# for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses.
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# See https://cloud.google.com/speech-to-text/docs/automatic-punctuation
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punctuate:
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# The spoken punctuation behavior for the call. If not set, uses default behavior based on model of choice.
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# e.g. command_and_search will enable spoken punctuation by default. If 'true', replaces spoken punctuation
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# with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?".
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# See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
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spoken_punctuation:
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# Whether to return interim (non-final) transcription results. Defaults to true.
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interim_results:
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openai:
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# API key for OpenAI. See https://platform.openai.com/api-keys
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api_key:
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# The OpenAI model to use for transcription. See https://platform.openai.com/docs/guides/speech-to-text
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model:
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# The language of the input audio. Supplying the input language in ISO-639-1 format
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# (https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) will improve accuracy and latency.
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language:
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# Optional text prompt to guide the transcription. Only supported for whisper-1.
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prompt:
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groq:
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# API key for Groq. See https://console.groq.com/keys
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api_key:
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# See https://console.groq.com/docs/speech-to-text
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model:
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# The language of the input audio. Supplying the input language in ISO-639-1 format
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# (https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) will improve accuracy and latency.
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language:
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# Prompt to guide the model's style or specify how to spell unfamiliar words. 224 tokens max.
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prompt:
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deepgram:
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# See https://console.deepgram.com/
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api_key:
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# See https://developers.deepgram.com/reference/speech-to-text-api/listen-streaming#request.query.model
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model:
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# See https://developers.deepgram.com/reference/speech-to-text-api/listen-streaming#request.query.language
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language:
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# Whether to enable automatic language detection. Defaults to false. See https://developers.deepgram.com/docs/language-detection
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detect_language: false
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# Whether to return interim (non-final) transcription results. Defaults to true. See https://developers.deepgram.com/docs/interim-results
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interim_results: true
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# Whether to apply smart formatting to numbers, dates, etc. Defaults to true. See https://developers.deepgram.com/docs/smart-format
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smart_format: true
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# When smart_format is used, ensures it does not wait for sequence to be complete before returning results. Defaults to true. See https://developers.deepgram.com/docs/smart-format#using-no-delay
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no_delay: true
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# Whether to add punctuations to the transcription. Defaults to true. Turn detector will work better with punctuations. See https://developers.deepgram.com/docs/punctuation
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punctuate: true
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# Whether to include filler words (um, uh, etc.) in transcription. Defaults to true. See https://developers.deepgram.com/docs/filler-words
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filler_words: true
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# Whether to filter profanity from the transcription. Defaults to false. See https://developers.deepgram.com/docs/profanity-filter
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profanity_filter: false
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# List of tuples containing keywords and their boost values for improved recognition. Each tuple should be (keyword: str, boost: float). Defaults to None. keywords does not work with Nova-3 models. Use keyterms instead.
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# keywords:
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# - [OpenVidu, 1.5]
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# - [WebRTC, 1]
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# List of key terms to improve recognition accuracy. Defaults to None. keyterms is supported by Nova-3 models.
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# Commented below is an example
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keyterms:
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# - "OpenVidu"
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# - "WebRTC"
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assemblyai:
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# API key for AssemblyAI. See https://www.assemblyai.com/dashboard/api-keys
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api_key:
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# Whether to return formatted final transcripts (proper punctuation, letter casing...). If enabled, formatted final transcripts are emitted shortly following an end-of-turn detection.
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format_turns: true
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fal:
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# API key for fal. See https://fal.ai/dashboard/keys
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api_key:
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# See https://fal.ai/models/fal-ai/wizper/api#schema
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language:
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clova:
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# Secret key issued when registering the app
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api_key:
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# API Gateway's unique invoke URL created in CLOVA Speech Domain.
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# See https://guide.ncloud-docs.com/docs/en/clovaspeech-domain#create-domain
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invoke_url:
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# See https://api.ncloud-docs.com/docs/en/ai-application-service-clovaspeech-longsentence
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language:
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# Value between 0 and 1 indicating the threshold for the confidence score of the transcribed text. Default is 0.5.
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# If the confidence score is lower than the threshold, the transcription event is not sent to the client.
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# For a definition of the confidence score see https://api.ncloud-docs.com/docs/en/ai-application-service-clovaspeech-grpc
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threshold:
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speechmatics:
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# API key for Speechmatics. See https://portal.speechmatics.com/manage-access/
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api_key:
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# ISO 639-1 language code. All languages are global and can understand different dialects/accents. To see the list of all supported languages, see https://docs.speechmatics.com/introduction/supported-languages
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language:
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# Operating point to use for the transcription per required accuracy & complexity. To learn more, see https://docs.speechmatics.com/features/accuracy-language-packs#accuracy
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operating_point:
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# Partial transcripts allow you to receive preliminary transcriptions and update as more context is available until the higher-accuracy final transcript is returned. Partials are returned faster but without any post-processing such as formatting. See https://docs.speechmatics.com/features/realtime-latency#partial-transcripts
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enable_partials:
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# RFC-5646 language code to make spelling rules more consistent in the transcription output. See https://docs.speechmatics.com/features/word-tagging#output-locale
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output_locale:
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# The delay in seconds between the end of a spoken word and returning the final transcript results. See https://docs.speechmatics.com/features/realtime-latency#configuration-example
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max_delay:
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# See https://docs.speechmatics.com/features/realtime-latency#configuration-example
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max_delay_mode:
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# Configuration for speaker diarization. See https://docs.speechmatics.com/features/diarization
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speaker_diarization_config:
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# See https://docs.speechmatics.com/features/diarization#max-speakers
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max_speakers:
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# See https://docs.speechmatics.com/features/diarization#speaker-sensitivity
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speaker_sensitivity:
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# See https://docs.speechmatics.com/features/diarization#prefer-current-speaker
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prefer_current_speaker:
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# Permitted puctuation marks for advanced punctuation. See https://docs.speechmatics.com/features/punctuation-settings
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# Commented is an example of punctuation settings
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punctuation_overrides:
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# permitted_marks: [ ".", "," ]
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# sensitivity: 0.4
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# See https://docs.speechmatics.com/features/custom-dictionary
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# Commented below is an example of a custom dictionary
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additional_vocab:
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# - content: financial crisis
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# - content: gnocchi
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# sounds_like:
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# - nyohki
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# - nokey
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# - nochi
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# - content: CEO
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# sounds_like:
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# - C.E.O.
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gladia:
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# API key for Gladia. See https://app.gladia.io/account
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api_key:
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# Whether to return interim (non-final) transcription results. Defaults to True
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interim_results:
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# List of language codes to use for recognition. Defaults to None (auto-detect). See https://docs.gladia.io/chapters/limits-and-specifications/languages
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languages:
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# Whether to allow switching between languages during recognition. Defaults to True
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code_switching:
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sarvam:
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# API key for Sarvam. See https://dashboard.sarvam.ai/key-management
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api_key:
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# BCP-47 language code for supported Indian languages. See https://docs.sarvam.ai/api-reference-docs/speech-to-text/transcribe#request.body.language_code.language_code
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language:
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# The Sarvam STT model to use. See https://docs.sarvam.ai/api-reference-docs/speech-to-text/transcribe#request.body.model.model
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model:
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@ -1,6 +1,6 @@
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services:
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caddy-proxy:
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image: docker.io/openvidu/openvidu-caddy-local:3.2.0
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image: docker.io/openvidu/openvidu-caddy-local:3.3.0
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platform: linux/amd64
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container_name: caddy-proxy
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restart: unless-stopped
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@ -87,7 +87,7 @@ services:
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condition: service_completed_successfully
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dashboard:
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image: docker.io/openvidu/openvidu-dashboard:3.2.0
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image: docker.io/openvidu/openvidu-dashboard:3.3.0
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platform: linux/amd64
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container_name: dashboard
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restart: unless-stopped
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@ -101,7 +101,7 @@ services:
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condition: service_completed_successfully
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openvidu:
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image: docker.io/openvidu/openvidu-server:3.2.0
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image: docker.io/openvidu/openvidu-server:3.3.0
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platform: linux/amd64
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restart: unless-stopped
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container_name: openvidu
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@ -123,7 +123,7 @@ services:
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condition: service_completed_successfully
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ingress:
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image: docker.io/openvidu/ingress:3.2.0
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image: docker.io/openvidu/ingress:3.3.0
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platform: linux/amd64
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container_name: ingress
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restart: unless-stopped
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@ -158,7 +158,7 @@ services:
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condition: service_completed_successfully
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default-app:
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image: docker.io/openvidu/openvidu-call:3.2.0-demo
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image: docker.io/openvidu/openvidu-call:3.3.0-demo
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platform: linux/amd64
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container_name: openvidu-call
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restart: on-failure
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@ -193,6 +193,31 @@ services:
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setup:
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condition: service_completed_successfully
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operator:
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image: docker.io/openvidu/openvidu-operator:3.3.0
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platform: linux/amd64
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container_name: operator
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restart: unless-stopped
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volumes:
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- /var/run/docker.sock:/var/run/docker.sock
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- agents-config:/agents-config
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- ./:/deployment
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environment:
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- PLATFORM=linux/amd64
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- MODE=agent-manager-local
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- DEPLOYMENT_FILES_DIR=/deployment
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- AGENTS_CONFIG_DIR=/agents-config
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- NETWORK_NAME=openvidu-community
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- AGENTS_CONFIG_VOLUME=openvidu-agents-config
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- LIVEKIT_URL=ws://openvidu:7880/
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- LIVEKIT_API_KEY=${LIVEKIT_API_KEY:-}
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- LIVEKIT_API_SECRET=${LIVEKIT_API_SECRET:-}
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- REDIS_ADDRESS=redis:6379
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- REDIS_PASSWORD=${REDIS_PASSWORD:-}
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depends_on:
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setup:
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condition: service_completed_successfully
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ready-check:
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image: docker.io/curlimages/curl:8.13.0
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platform: linux/amd64
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259
pro/agent-speech-processing.yaml
Normal file
259
pro/agent-speech-processing.yaml
Normal file
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# Docker image of the agent.
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docker_image: docker.io/openvidu/agent-speech-processing:3.3.0
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# Whether to run the agent or not.
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enabled: false
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live_captions:
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# How this agent will connect to Rooms [automatic, manual]
|
||||
# - automatic: the agent will automatically connect to new Rooms.
|
||||
# - manual: the agent will connect to new Rooms only when your application dictates it by using the Agent Dispatch API.
|
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processing: automatic
|
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# Which speech-to-text AI provider to use [aws, azure, google, opeanai, groq, deepgram, assemblyai, fal, clova, speechmatics, gladia, sarvam]
|
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# The custom configuration for the selected provider must be set below
|
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provider:
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aws:
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# Credentials for AWS Transcribe. See https://docs.aws.amazon.com/transcribe/latest/dg/what-is.html
|
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aws_access_key_id:
|
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aws_secret_access_key:
|
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aws_default_region:
|
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# See https://docs.aws.amazon.com/transcribe/latest/dg/supported-languages.html
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language:
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# The name of the custom vocabulary you want to use.
|
||||
# See https://docs.aws.amazon.com/transcribe/latest/dg/custom-vocabulary.html
|
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vocabulary_name:
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# The name of the custom language model you want to use.
|
||||
# See https://docs.aws.amazon.com/transcribe/latest/dg/custom-language-models-using.html
|
||||
language_model_name:
|
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# Whether or not to enable partial result stabilization. Partial result stabilization can reduce latency in your output, but may impact accuracy.
|
||||
# See https://docs.aws.amazon.com/transcribe/latest/dg/streaming-partial-results.html#streaming-partial-result-stabilization
|
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enable_partial_results_stabilization:
|
||||
# Specify the level of stability to use when you enable partial results stabilization (enable_partial_results_stabilization: true). Valid values: high | medium | low
|
||||
# See https://docs.aws.amazon.com/transcribe/latest/dg/streaming-partial-results.html#streaming-partial-result-stabilization
|
||||
partial_results_stability:
|
||||
# The name of the custom vocabulary filter you want to use to mask or remove words.
|
||||
# See https://docs.aws.amazon.com/transcribe/latest/dg/vocabulary-filtering.html
|
||||
vocab_filter_name:
|
||||
# The method used to filter the vocabulary. Valid values: mask | remove | tag
|
||||
# See https://docs.aws.amazon.com/transcribe/latest/dg/vocabulary-filtering.html
|
||||
vocab_filter_method:
|
||||
|
||||
azure:
|
||||
# Credentials for Azure Speech Service.
|
||||
# One of these combinations must be set:
|
||||
# - speech_host
|
||||
# - speech_key + speech_region
|
||||
# - speech_auth_token + speech_region
|
||||
# See https://learn.microsoft.com/en-us/azure/ai-services/speech-service/get-started-speech-to-text?tabs=macos%2Cterminal&pivots=programming-language-python#prerequisites
|
||||
speech_host:
|
||||
speech_key:
|
||||
speech_auth_token:
|
||||
speech_region:
|
||||
# Azure handles multiple languages and can auto-detect the language used. It requires the candidate set to be set. E.g. ["en-US", "es-ES"]
|
||||
# See https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=stt#supported-languages
|
||||
language:
|
||||
# Removes profanity (swearing), or replaces letters of profane words with stars. Valid values: Masked | Removed | Raw
|
||||
# See https://learn.microsoft.com/en-us/azure/ai-services/translator/profanity-filtering
|
||||
profanity:
|
||||
|
||||
azure_openai:
|
||||
# Credentials for Azure OpenAI APIs. See https://learn.microsoft.com/en-us/azure/api-management/api-management-authenticate-authorize-azure-openai
|
||||
# Azure OpenAI API key
|
||||
azure_api_key:
|
||||
# Azure Active Directory token
|
||||
azure_ad_token:
|
||||
# Azure OpenAI endpoint in the following format: https://{your-resource-name}.openai.azure.com. Mandatory value.
|
||||
azure_endpoint:
|
||||
# Name of your model deployment. If given with `azure_endpoint`, sets the base client URL to include `/deployments/{azure_deployment}`.
|
||||
azure_deployment:
|
||||
# OpenAI REST API version used for the request. Mandatory value.
|
||||
api_version:
|
||||
# OpenAI organization ID.
|
||||
organization:
|
||||
# OpenAI project ID.
|
||||
project:
|
||||
# The language code to use for transcription (e.g., "en" for English).
|
||||
language:
|
||||
# ID of the model to use for speech-to-text.
|
||||
model:
|
||||
# Initial prompt to guide the transcription.
|
||||
prompt:
|
||||
|
||||
google:
|
||||
# Credentials for Google Cloud. This is the content of a Google Cloud credential JSON file.
|
||||
# Below is a dummy example for a credential type of "Service Account" (https://cloud.google.com/iam/docs/service-account-creds#key-types)
|
||||
credentials_info: |
|
||||
{
|
||||
"type": "service_account",
|
||||
"project_id": "my-project",
|
||||
"private_key_id": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
|
||||
"private_key": "-----BEGIN PRIVATE KEY-----\nxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n-----END PRIVATE KEY-----\n",
|
||||
"client_email": "my-email@my-project.iam.gserviceaccount.com",
|
||||
"client_id": "xxxxxxxxxxxxxxxxxxxxx",
|
||||
"auth_uri": "https://accounts.google.com/o/oauth2/auth",
|
||||
"token_uri": "https://oauth2.googleapis.com/token",
|
||||
"auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
|
||||
"client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/my-email%40my-project.iam.gserviceaccount.com",
|
||||
"universe_domain": "googleapis.com"
|
||||
}
|
||||
# Which model to use for recognition. If not set, uses the default model for the selected language.
|
||||
# See https://cloud.google.com/speech-to-text/docs/transcription-model
|
||||
model:
|
||||
# The location to use for recognition. Default is "us-central1". Latency will be best if the location is close to your users.
|
||||
# Check supported languages and locations at https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages
|
||||
location:
|
||||
# List of language codes to recognize. Default is ["en-US"].
|
||||
# See https://cloud.google.com/speech-to-text/v2/docs/speech-to-text-supported-languages
|
||||
languages:
|
||||
# Whether to detect the language of the audio. Default is true.
|
||||
detect_language:
|
||||
# If 'true', adds punctuation to recognition result hypotheses. This feature is only available in select languages. Setting this
|
||||
# for requests in other languages has no effect at all. The default 'false' value does not add punctuation to result hypotheses.
|
||||
# See https://cloud.google.com/speech-to-text/docs/automatic-punctuation
|
||||
punctuate:
|
||||
# The spoken punctuation behavior for the call. If not set, uses default behavior based on model of choice.
|
||||
# e.g. command_and_search will enable spoken punctuation by default. If 'true', replaces spoken punctuation
|
||||
# with the corresponding symbols in the request. For example, "how are you question mark" becomes "how are you?".
|
||||
# See https://cloud.google.com/speech-to-text/docs/spoken-punctuation for support. If 'false', spoken punctuation is not replaced.
|
||||
spoken_punctuation:
|
||||
# Whether to return interim (non-final) transcription results. Defaults to true.
|
||||
interim_results:
|
||||
|
||||
openai:
|
||||
# API key for OpenAI. See https://platform.openai.com/api-keys
|
||||
api_key:
|
||||
# The OpenAI model to use for transcription. See https://platform.openai.com/docs/guides/speech-to-text
|
||||
model:
|
||||
# The language of the input audio. Supplying the input language in ISO-639-1 format
|
||||
# (https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) will improve accuracy and latency.
|
||||
language:
|
||||
# Optional text prompt to guide the transcription. Only supported for whisper-1.
|
||||
prompt:
|
||||
|
||||
groq:
|
||||
# API key for Groq. See https://console.groq.com/keys
|
||||
api_key:
|
||||
# See https://console.groq.com/docs/speech-to-text
|
||||
model:
|
||||
# The language of the input audio. Supplying the input language in ISO-639-1 format
|
||||
# (https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) will improve accuracy and latency.
|
||||
language:
|
||||
# Prompt to guide the model's style or specify how to spell unfamiliar words. 224 tokens max.
|
||||
prompt:
|
||||
|
||||
deepgram:
|
||||
# See https://console.deepgram.com/
|
||||
api_key:
|
||||
# See https://developers.deepgram.com/reference/speech-to-text-api/listen-streaming#request.query.model
|
||||
model:
|
||||
# See https://developers.deepgram.com/reference/speech-to-text-api/listen-streaming#request.query.language
|
||||
language:
|
||||
# Whether to enable automatic language detection. Defaults to false. See https://developers.deepgram.com/docs/language-detection
|
||||
detect_language: false
|
||||
# Whether to return interim (non-final) transcription results. Defaults to true. See https://developers.deepgram.com/docs/interim-results
|
||||
interim_results: true
|
||||
# Whether to apply smart formatting to numbers, dates, etc. Defaults to true. See https://developers.deepgram.com/docs/smart-format
|
||||
smart_format: true
|
||||
# When smart_format is used, ensures it does not wait for sequence to be complete before returning results. Defaults to true. See https://developers.deepgram.com/docs/smart-format#using-no-delay
|
||||
no_delay: true
|
||||
# Whether to add punctuations to the transcription. Defaults to true. Turn detector will work better with punctuations. See https://developers.deepgram.com/docs/punctuation
|
||||
punctuate: true
|
||||
# Whether to include filler words (um, uh, etc.) in transcription. Defaults to true. See https://developers.deepgram.com/docs/filler-words
|
||||
filler_words: true
|
||||
# Whether to filter profanity from the transcription. Defaults to false. See https://developers.deepgram.com/docs/profanity-filter
|
||||
profanity_filter: false
|
||||
# List of tuples containing keywords and their boost values for improved recognition. Each tuple should be (keyword: str, boost: float). Defaults to None. keywords does not work with Nova-3 models. Use keyterms instead.
|
||||
# keywords:
|
||||
# - [OpenVidu, 1.5]
|
||||
# - [WebRTC, 1]
|
||||
# List of key terms to improve recognition accuracy. Defaults to None. keyterms is supported by Nova-3 models.
|
||||
# Commented below is an example
|
||||
keyterms:
|
||||
# - "OpenVidu"
|
||||
# - "WebRTC"
|
||||
|
||||
assemblyai:
|
||||
# API key for AssemblyAI. See https://www.assemblyai.com/dashboard/api-keys
|
||||
api_key:
|
||||
# Whether to return formatted final transcripts (proper punctuation, letter casing...). If enabled, formatted final transcripts are emitted shortly following an end-of-turn detection.
|
||||
format_turns: true
|
||||
|
||||
fal:
|
||||
# API key for fal. See https://fal.ai/dashboard/keys
|
||||
api_key:
|
||||
# See https://fal.ai/models/fal-ai/wizper/api#schema
|
||||
language:
|
||||
|
||||
clova:
|
||||
# Secret key issued when registering the app
|
||||
api_key:
|
||||
# API Gateway's unique invoke URL created in CLOVA Speech Domain.
|
||||
# See https://guide.ncloud-docs.com/docs/en/clovaspeech-domain#create-domain
|
||||
invoke_url:
|
||||
# See https://api.ncloud-docs.com/docs/en/ai-application-service-clovaspeech-longsentence
|
||||
language:
|
||||
# Value between 0 and 1 indicating the threshold for the confidence score of the transcribed text. Default is 0.5.
|
||||
# If the confidence score is lower than the threshold, the transcription event is not sent to the client.
|
||||
# For a definition of the confidence score see https://api.ncloud-docs.com/docs/en/ai-application-service-clovaspeech-grpc
|
||||
threshold:
|
||||
|
||||
speechmatics:
|
||||
# API key for Speechmatics. See https://portal.speechmatics.com/manage-access/
|
||||
api_key:
|
||||
# ISO 639-1 language code. All languages are global and can understand different dialects/accents. To see the list of all supported languages, see https://docs.speechmatics.com/introduction/supported-languages
|
||||
language:
|
||||
# Operating point to use for the transcription per required accuracy & complexity. To learn more, see https://docs.speechmatics.com/features/accuracy-language-packs#accuracy
|
||||
operating_point:
|
||||
# Partial transcripts allow you to receive preliminary transcriptions and update as more context is available until the higher-accuracy final transcript is returned. Partials are returned faster but without any post-processing such as formatting. See https://docs.speechmatics.com/features/realtime-latency#partial-transcripts
|
||||
enable_partials:
|
||||
# RFC-5646 language code to make spelling rules more consistent in the transcription output. See https://docs.speechmatics.com/features/word-tagging#output-locale
|
||||
output_locale:
|
||||
# The delay in seconds between the end of a spoken word and returning the final transcript results. See https://docs.speechmatics.com/features/realtime-latency#configuration-example
|
||||
max_delay:
|
||||
# See https://docs.speechmatics.com/features/realtime-latency#configuration-example
|
||||
max_delay_mode:
|
||||
# Configuration for speaker diarization. See https://docs.speechmatics.com/features/diarization
|
||||
speaker_diarization_config:
|
||||
# See https://docs.speechmatics.com/features/diarization#max-speakers
|
||||
max_speakers:
|
||||
# See https://docs.speechmatics.com/features/diarization#speaker-sensitivity
|
||||
speaker_sensitivity:
|
||||
# See https://docs.speechmatics.com/features/diarization#prefer-current-speaker
|
||||
prefer_current_speaker:
|
||||
# Permitted puctuation marks for advanced punctuation. See https://docs.speechmatics.com/features/punctuation-settings
|
||||
# Commented is an example of punctuation settings
|
||||
punctuation_overrides:
|
||||
# permitted_marks: [ ".", "," ]
|
||||
# sensitivity: 0.4
|
||||
# See https://docs.speechmatics.com/features/custom-dictionary
|
||||
# Commented below is an example of a custom dictionary
|
||||
additional_vocab:
|
||||
# - content: financial crisis
|
||||
# - content: gnocchi
|
||||
# sounds_like:
|
||||
# - nyohki
|
||||
# - nokey
|
||||
# - nochi
|
||||
# - content: CEO
|
||||
# sounds_like:
|
||||
# - C.E.O.
|
||||
|
||||
gladia:
|
||||
# API key for Gladia. See https://app.gladia.io/account
|
||||
api_key:
|
||||
# Whether to return interim (non-final) transcription results. Defaults to True
|
||||
interim_results:
|
||||
# List of language codes to use for recognition. Defaults to None (auto-detect). See https://docs.gladia.io/chapters/limits-and-specifications/languages
|
||||
languages:
|
||||
# Whether to allow switching between languages during recognition. Defaults to True
|
||||
code_switching:
|
||||
|
||||
sarvam:
|
||||
# API key for Sarvam. See https://dashboard.sarvam.ai/key-management
|
||||
api_key:
|
||||
# BCP-47 language code for supported Indian languages. See https://docs.sarvam.ai/api-reference-docs/speech-to-text/transcribe#request.body.language_code.language_code
|
||||
language:
|
||||
# The Sarvam STT model to use. See https://docs.sarvam.ai/api-reference-docs/speech-to-text/transcribe#request.body.model.model
|
||||
model:
|
||||
@ -1,6 +1,6 @@
|
||||
services:
|
||||
caddy-proxy:
|
||||
image: docker.io/openvidu/openvidu-caddy-local:3.2.0
|
||||
image: docker.io/openvidu/openvidu-caddy-local:3.3.0
|
||||
platform: linux/amd64
|
||||
container_name: caddy-proxy
|
||||
restart: unless-stopped
|
||||
@ -87,7 +87,7 @@ services:
|
||||
condition: service_completed_successfully
|
||||
|
||||
dashboard:
|
||||
image: docker.io/openvidu/openvidu-dashboard:3.2.0
|
||||
image: docker.io/openvidu/openvidu-dashboard:3.3.0
|
||||
platform: linux/amd64
|
||||
container_name: dashboard
|
||||
restart: unless-stopped
|
||||
@ -101,7 +101,7 @@ services:
|
||||
condition: service_completed_successfully
|
||||
|
||||
openvidu:
|
||||
image: docker.io/openvidu/openvidu-server-pro:3.2.0
|
||||
image: docker.io/openvidu/openvidu-server-pro:3.3.0
|
||||
platform: linux/amd64
|
||||
restart: unless-stopped
|
||||
container_name: openvidu
|
||||
@ -125,7 +125,7 @@ services:
|
||||
condition: service_completed_successfully
|
||||
|
||||
ingress:
|
||||
image: docker.io/openvidu/ingress:3.2.0
|
||||
image: docker.io/openvidu/ingress:3.3.0
|
||||
platform: linux/amd64
|
||||
container_name: ingress
|
||||
restart: unless-stopped
|
||||
@ -160,7 +160,7 @@ services:
|
||||
condition: service_completed_successfully
|
||||
|
||||
default-app:
|
||||
image: docker.io/openvidu/openvidu-call:3.2.0-demo
|
||||
image: docker.io/openvidu/openvidu-call:3.3.0-demo
|
||||
platform: linux/amd64
|
||||
container_name: openvidu-call
|
||||
restart: on-failure
|
||||
@ -196,7 +196,7 @@ services:
|
||||
condition: service_completed_successfully
|
||||
|
||||
openvidu-v2compatibility:
|
||||
image: docker.io/openvidu/openvidu-v2compatibility:3.2.0
|
||||
image: docker.io/openvidu/openvidu-v2compatibility:3.3.0
|
||||
platform: linux/amd64
|
||||
restart: unless-stopped
|
||||
container_name: openvidu-v2compatibility
|
||||
@ -266,6 +266,30 @@ services:
|
||||
- ./scripts/utils.sh:/scripts/utils.sh
|
||||
command: /bin/sh /scripts/ready-check.sh
|
||||
|
||||
operator:
|
||||
image: docker.io/openvidu/openvidu-operator:3.3.0
|
||||
platform: linux/amd64
|
||||
container_name: operator
|
||||
restart: unless-stopped
|
||||
volumes:
|
||||
- /var/run/docker.sock:/var/run/docker.sock
|
||||
- agents-config:/agents-config
|
||||
- ./:/deployment
|
||||
environment:
|
||||
- PLATFORM=linux/amd64
|
||||
- MODE=agent-manager-local
|
||||
- DEPLOYMENT_FILES_DIR=/deployment
|
||||
- AGENTS_CONFIG_DIR=/agents-config
|
||||
- NETWORK_NAME=openvidu-pro
|
||||
- AGENTS_CONFIG_VOLUME=openvidu-pro-agents-config
|
||||
- LIVEKIT_URL=ws://openvidu:7880/
|
||||
- LIVEKIT_API_KEY=${LIVEKIT_API_KEY:-}
|
||||
- LIVEKIT_API_SECRET=${LIVEKIT_API_SECRET:-}
|
||||
- REDIS_ADDRESS=redis:6379
|
||||
- REDIS_PASSWORD=${REDIS_PASSWORD:-}
|
||||
depends_on:
|
||||
setup:
|
||||
condition: service_completed_successfully
|
||||
setup:
|
||||
image: docker.io/busybox:1.37.0
|
||||
platform: linux/amd64
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user