🔧(summary) use our self-deployed models
Configure dev and staging environment to use our self-deployed models (Whisper and LLM). Secrets need to be updated btw. Because of outscale LB bug, which timeout after 60s, we need to connect directly to the svc.
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aleb_the_flash
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4b4f16e93f
commit
459bbf65a8
@@ -125,6 +125,9 @@ summary:
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AWS_S3_ACCESS_KEY_ID: meet
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AWS_S3_SECRET_ACCESS_KEY: password
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OPENAI_API_KEY: password
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OPENAI_BASE_URL: https://albertine.beta.numerique.gouv.fr:32222/v1
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OPENAI_ASR_MODEL: openai/whisper-large-v3
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OPENAI_LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct
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AWS_S3_SECURE_ACCESS: False
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WEBHOOK_API_TOKEN: password
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WEBHOOK_URL: https://www.mock-impress.com/webhook/
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@@ -155,6 +158,9 @@ celery:
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AWS_S3_ACCESS_KEY_ID: meet
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AWS_S3_SECRET_ACCESS_KEY: password
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OPENAI_API_KEY: password
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OPENAI_BASE_URL: https://albertine.beta.numerique.gouv.fr:32222/v1
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OPENAI_ASR_MODEL: openai/whisper-large-v3
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OPENAI_LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct
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AWS_S3_SECURE_ACCESS: False
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WEBHOOK_API_TOKEN: password
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WEBHOOK_URL: https://www.mock-impress.com/webhook/
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@@ -216,6 +216,9 @@ summary:
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secretKeyRef:
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name: summary
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key: OPENAI_API_KEY
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OPENAI_BASE_URL: https://albertine.beta.numerique.gouv.fr:32222/v1
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OPENAI_ASR_MODEL: openai/whisper-large-v3
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OPENAI_LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct
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WEBHOOK_API_TOKEN:
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secretKeyRef:
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name: summary
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