feat: Allow multiple ML models to be preloaded (#15418)

machine-learning/app/main.py

@@ -77,29 +77,31 @@ async def lifespan(_: FastAPI) -> AsyncGenerator[None, None]:
 async def preload_models(preload: PreloadModelData) -> None:
     log.info(f"Preloading models: clip:{preload.clip} facial_recognition:{preload.facial_recognition}")
 
+    async def load_models(model_string: str, model_type: ModelType, model_task: ModelTask) -> None:
+        for model_name in model_string.split(","):
+            model_name = model_name.strip()
+            model = await model_cache.get(model_name, model_type, model_task)
+            await load(model)
+
     if preload.clip.textual is not None:
-        model = await model_cache.get(preload.clip.textual, ModelType.TEXTUAL, ModelTask.SEARCH)
-        await load(model)
+        await load_models(preload.clip.textual, ModelType.TEXTUAL, ModelTask.SEARCH)
 
     if preload.clip.visual is not None:
-        model = await model_cache.get(preload.clip.visual, ModelType.VISUAL, ModelTask.SEARCH)
-        await load(model)
+        await load_models(preload.clip.visual, ModelType.VISUAL, ModelTask.SEARCH)
 
     if preload.facial_recognition.detection is not None:
-        model = await model_cache.get(
+        await load_models(
             preload.facial_recognition.detection,
             ModelType.DETECTION,
             ModelTask.FACIAL_RECOGNITION,
         )
-        await load(model)
 
     if preload.facial_recognition.recognition is not None:
-        model = await model_cache.get(
+        await load_models(
             preload.facial_recognition.recognition,
             ModelType.RECOGNITION,
             ModelTask.FACIAL_RECOGNITION,
         )
-        await load(model)
 
     if preload.clip_fallback is not None:
         log.warning(