✨(frontend) introduce a recording toaster

Notify visually users that the room is being recorded.
Draft, it will be enhance the future.

src/backend/core/authentication/views.py

@@ -145,7 +145,7 @@ class OIDCLogoutCallbackView(MozillaOIDCOIDCLogoutView):
 
 
 class OIDCAuthenticationCallbackView(MozillaOIDCAuthenticationCallbackView):
-    """Custom callback view for handling the silent login flow."""
+    """Custom callback view for handling the silent loging flow."""
 
     @property
     def failure_url(self):
@@ -162,7 +162,7 @@ class OIDCAuthenticationCallbackView(MozillaOIDCAuthenticationCallbackView):
 
 
 class OIDCAuthenticationRequestView(MozillaOIDCAuthenticationRequestView):
-    """Custom authentication view for handling the silent login flow."""
+    """Custom authentication view for handling the silent loging flow."""
 
     def get_extra_params(self, request):
         """Handle 'prompt' extra parameter for the silent login flow

src/backend/meet/settings.py

@@ -324,10 +324,8 @@ class Base(Configuration):
     OIDC_AUTHENTICATE_CLASS = "core.authentication.views.OIDCAuthenticationRequestView"
     OIDC_CALLBACK_CLASS = "core.authentication.views.OIDCAuthenticationCallbackView"
     OIDC_CREATE_USER = values.BooleanValue(
-        default=True, environ_name="OIDC_CREATE_USER", environ_prefix=None
-    )
-    OIDC_VERIFY_SSL = values.BooleanValue(
-        default=True, environ_name="OIDC_VERIFY_SSL", environ_prefix=None
+        default=True,
+        environ_name="OIDC_CREATE_USER",
     )
     OIDC_FALLBACK_TO_EMAIL_FOR_IDENTIFICATION = values.BooleanValue(
         default=False,

src/helm/env.d/dev/values.meet.yaml.gotmpl

@@ -125,9 +125,6 @@ summary:
     AWS_S3_ACCESS_KEY_ID: meet
     AWS_S3_SECRET_ACCESS_KEY: password
     OPENAI_API_KEY: password
-    OPENAI_BASE_URL: https://albertine.beta.numerique.gouv.fr:32222/v1
-    OPENAI_ASR_MODEL: openai/whisper-large-v3
-    OPENAI_LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct
     AWS_S3_SECURE_ACCESS: False
     WEBHOOK_API_TOKEN: password
     WEBHOOK_URL: https://www.mock-impress.com/webhook/
@@ -158,9 +155,6 @@ celery:
     AWS_S3_ACCESS_KEY_ID: meet
     AWS_S3_SECRET_ACCESS_KEY: password
     OPENAI_API_KEY: password
-    OPENAI_BASE_URL: https://albertine.beta.numerique.gouv.fr:32222/v1
-    OPENAI_ASR_MODEL: openai/whisper-large-v3
-    OPENAI_LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct
     AWS_S3_SECURE_ACCESS: False
     WEBHOOK_API_TOKEN: password
     WEBHOOK_URL: https://www.mock-impress.com/webhook/

src/helm/env.d/staging/values.meet.yaml.gotmpl

@@ -216,9 +216,6 @@ summary:
       secretKeyRef:
         name: summary
         key: OPENAI_API_KEY
-    OPENAI_BASE_URL: https://albertine.beta.numerique.gouv.fr:32222/v1
-    OPENAI_ASR_MODEL: openai/whisper-large-v3
-    OPENAI_LLM_MODEL: meta-llama/Llama-3.1-8B-Instruct
     WEBHOOK_API_TOKEN:
       secretKeyRef:
         name: summary

src/summary/summary/core/celery_worker.py

@@ -1,7 +1,6 @@
 """Celery workers."""
 
 import json
-import os
 import tempfile
 from pathlib import Path
 
@@ -29,7 +28,6 @@ celery = Celery(
 )
 
 if settings.sentry_dsn and settings.sentry_is_enabled:
-
     @signals.celeryd_init.connect
     def init_sentry(**_kwargs):
         """Initialize sentry."""
@@ -102,20 +100,15 @@ def process_audio_transcribe_summarize(filename: str, email: str, sub: str):
         api_key=settings.openai_api_key, base_url=settings.openai_base_url
     )
 
-    try:
-        logger.debug("Querying transcription …")
-        with open(temp_file_path, "rb") as audio_file:
-            transcription = openai_client.audio.transcriptions.create(
-                model=settings.openai_asr_model, file=audio_file
-            )
+    logger.debug("Querying transcription …")
+    with open(temp_file_path, "rb") as audio_file:
+        transcription = openai_client.audio.transcriptions.create(
+            model=settings.openai_asr_model, file=audio_file
+        )
 
-            transcription = transcription.text
+        transcription = transcription.text
 
-            logger.debug("Transcription: \n %s", transcription)
-    finally:
-        if os.path.exists(temp_file_path):
-            os.remove(temp_file_path)
-            logger.debug("Temporary file removed: %s", temp_file_path)
+        logger.debug("Transcription: \n %s", transcription)
 
     instructions = get_instructions(transcription)
     summary_response = openai_client.chat.completions.create(