Miscellaneous fixes (#20833)

* remove frigate+ icon from explore grid footer

* add margin

* pointer cursor on event menu items in detail stream

* don't show submit to plus for non-objects and if plus is disabled

* tweak spacing in annotation settings popover

* Fix deletion of classification images and library

* Ensure after creating a class that things are correct

* Fix dialog getting stuck

* Only show the genai summary popup on mobile when timeline is open

* fix audio transcription embedding

* spacing

* hide x icon on restart sheet to prevent closure issues

* prevent x overflow in detail stream on mobile safari

* ensure name is valid for search effect trigger

* add trigger to detail actions menu

* move find similar to actions menu

* Use a column layout for MobilePageContent in PlatformAwareSheet

 This is so the header is outside the scrolling area and the content can grow/scroll independently. This now matches the way it's done in classification

* Skip azure execution provider

* add optional ref to always scroll to top

the more filters in explore was not scrolled to the top on open due to the use of framer motion

* fix title classes on desktop

---------

Co-authored-by: Nicolas Mowen <nickmowen213@gmail.com>

frigate/api/classification.py

@@ -662,8 +662,11 @@ def delete_classification_dataset_images(
         if os.path.isfile(file_path):
             os.unlink(file_path)
 
+    if os.path.exists(folder) and not os.listdir(folder):
+        os.rmdir(folder)
+
     return JSONResponse(
-        content=({"success": True, "message": "Successfully deleted faces."}),
+        content=({"success": True, "message": "Successfully deleted images."}),
         status_code=200,
     )
 
@@ -723,7 +726,7 @@ def categorize_classification_image(request: Request, name: str, body: dict = No
     os.unlink(training_file)
 
     return JSONResponse(
-        content=({"success": True, "message": "Successfully deleted faces."}),
+        content=({"success": True, "message": "Successfully categorized image."}),
         status_code=200,
     )
 
@@ -761,7 +764,7 @@ def delete_classification_train_images(request: Request, name: str, body: dict =
             os.unlink(file_path)
 
     return JSONResponse(
-        content=({"success": True, "message": "Successfully deleted faces."}),
+        content=({"success": True, "message": "Successfully deleted images."}),
         status_code=200,
     )
 

frigate/data_processing/post/audio_transcription.py

@@ -9,7 +9,6 @@ from typing import Optional
 from faster_whisper import WhisperModel
 from peewee import DoesNotExist
 
-from frigate.comms.embeddings_updater import EmbeddingsRequestEnum
 from frigate.comms.inter_process import InterProcessRequestor
 from frigate.config import FrigateConfig
 from frigate.const import (
@@ -32,11 +31,13 @@ class AudioTranscriptionPostProcessor(PostProcessorApi):
         self,
         config: FrigateConfig,
         requestor: InterProcessRequestor,
+        embeddings,
         metrics: DataProcessorMetrics,
     ):
         super().__init__(config, metrics, None)
         self.config = config
         self.requestor = requestor
+        self.embeddings = embeddings
         self.recognizer = None
         self.transcription_lock = threading.Lock()
         self.transcription_thread = None
@@ -128,10 +129,7 @@ class AudioTranscriptionPostProcessor(PostProcessorApi):
             )
 
             # Embed the description
-            self.requestor.send_data(
-                EmbeddingsRequestEnum.embed_description.value,
-                {"id": event_id, "description": transcription},
-            )
+            self.embeddings.embed_description(event_id, transcription)
 
         except DoesNotExist:
             logger.debug("No recording found for audio transcription post-processing")

frigate/embeddings/maintainer.py

@@ -226,7 +226,9 @@ class EmbeddingMaintainer(threading.Thread):
             for c in self.config.cameras.values()
         ):
             self.post_processors.append(
-                AudioTranscriptionPostProcessor(self.config, self.requestor, metrics)
+                AudioTranscriptionPostProcessor(
+                    self.config, self.requestor, self.embeddings, metrics
+                )
             )
 
         semantic_trigger_processor: SemanticTriggerProcessor | None = None

frigate/util/model.py

@@ -369,6 +369,10 @@ def get_ort_providers(
                     "enable_cpu_mem_arena": False,
                 }
             )
+        elif provider == "AzureExecutionProvider":
+            # Skip Azure provider - not typically available on local hardware
+            # and prevents fallback to OpenVINO when it's the first provider
+            continue
         else:
             providers.append(provider)
             options.append({})