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feat: Add additional env variables for Machine Learning (#15326)
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* Add additional variables to preload part ML models * Add additional variables to preload part ML models * Add additional variables to preload part ML models * Add additional variables to preload part ML models * Add additional variables to preload part ML models * Add additional variables to preload part ML models * Add additional variables to preload part ML models * Add additional variables to preload part ML models * Add additional variables to preload part ML models * Update config.py * Add additional variables to preload part ML models * Add additional variables to preload part ML models * Apply formatting * minor update * formatting * root validator * minor update * minor update * minor update * change to support explicit models * minor update * minor change * minor change * minor change * minor update * add logs, resolve errors * minor change * add new enviornment variables * minor revisons * remove comments
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@@ -76,18 +76,29 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
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async def preload_models(preload: PreloadModelData) -> None:
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log.info(f"Preloading models: {preload}")
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if preload.clip is not None:
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model = await model_cache.get(preload.clip, ModelType.TEXTUAL, ModelTask.SEARCH)
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if preload.clip.textual is not None:
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model = await model_cache.get(preload.clip.textual, ModelType.TEXTUAL, ModelTask.SEARCH)
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await load(model)
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model = await model_cache.get(preload.clip, ModelType.VISUAL, ModelTask.SEARCH)
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if preload.clip.visual is not None:
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model = await model_cache.get(preload.clip.visual, ModelType.VISUAL, ModelTask.SEARCH)
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await load(model)
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if preload.facial_recognition is not None:
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model = await model_cache.get(preload.facial_recognition, ModelType.DETECTION, ModelTask.FACIAL_RECOGNITION)
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if preload.facial_recognition.detection is not None:
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model = await model_cache.get(
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preload.facial_recognition.detection,
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ModelType.DETECTION,
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ModelTask.FACIAL_RECOGNITION,
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)
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await load(model)
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model = await model_cache.get(preload.facial_recognition, ModelType.RECOGNITION, ModelTask.FACIAL_RECOGNITION)
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if preload.facial_recognition.recognition is not None:
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model = await model_cache.get(
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preload.facial_recognition.recognition,
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ModelType.RECOGNITION,
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ModelTask.FACIAL_RECOGNITION,
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)
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await load(model)
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