Setup instuctions

server/.env_template

@@ -4,7 +4,7 @@ TRANSCRIPT_MODAL_API_KEY=***REMOVED***
 
 LLM_BACKEND=modal
 LLM_URL=https://monadical-sas--reflector-llm-web.modal.run
-LLM_MODAL_API_KEY=<ask in zulip>
+LLM_MODAL_API_KEY=***REMOVED***
 
 AUTH_BACKEND=fief
 AUTH_FIEF_URL=https://auth.reflector.media/reflector-local

server/env.example

@@ -3,36 +3,15 @@
 # All the settings are described here: reflector/settings.py
 #
 
-## =======================================================
-## Database
-## =======================================================
-
-#DATABASE_URL=sqlite://./reflector.db
-#DATABASE_URL=postgresql://reflector:reflector@localhost:5432/reflector
-
-
 ## =======================================================
 ## User authentication
 ## =======================================================
 
-## No authentication
-#AUTH_BACKEND=none
-
 ## Using fief (fief.dev)
-#AUTH_BACKEND=fief
-#AUTH_FIEF_URL=https://your-fief-instance....
-#AUTH_FIEF_CLIENT_ID=xxx
-#AUTH_FIEF_CLIENT_SECRET=xxx
-
-
-## =======================================================
-## Public mode
-## =======================================================
-## If set to true, anonymous transcripts will be
-## accessible to anybody.
-
-#PUBLIC_MODE=false
-
+AUTH_BACKEND=fief
+AUTH_FIEF_URL=https://auth.reflector.media/reflector-local
+AUTH_FIEF_CLIENT_ID=***REMOVED***
+AUTH_FIEF_CLIENT_SECRET=<ask in zulip>
 
 ## =======================================================
 ## Transcription backend
@@ -41,7 +20,7 @@
 ## full list of available transcription backend
 ## =======================================================
 
-## Using local whisper (default)
+## Using local whisper
 #TRANSCRIPT_BACKEND=whisper
 #WHISPER_MODEL_SIZE=tiny
 
@@ -51,21 +30,31 @@
 #TRANSLATE_URL=https://xxxxx--reflector-translator-web.modal.run
 #TRANSCRIPT_MODAL_API_KEY=xxxxx
 
+TRANSCRIPT_BACKEND=modal
+TRANSCRIPT_URL=https://monadical-sas--reflector-transcriber-web.modal.run
+TRANSCRIPT_MODAL_API_KEY=***REMOVED***
+
+## =======================================================
+## Transcription backend
+##
+## Only available in modal atm
+## =======================================================
+TRANSLATE_URL=https://monadical-sas--reflector-translator-web.modal.run
+
 ## =======================================================
 ## LLM backend
 ##
+## Responsible for titles and short summary
 ## Check reflector/llm/* for the full list of available
 ## llm backend implementation
 ## =======================================================
 
-## Use oobabooga (default)
-#LLM_BACKEND=oobabooga
-#LLM_URL=http://xxx:7860/api/generate/v1
-
 ## Using serverless modal.com (require reflector-gpu-modal deployed)
-#LLM_BACKEND=modal
-#LLM_URL=https://xxxxxx--reflector-llm-web.modal.run
-#LLM_MODAL_API_KEY=xxx
+LLM_BACKEND=modal
+LLM_URL=https://monadical-sas--reflector-llm-web.modal.run
+LLM_MODAL_API_KEY=***REMOVED***
+ZEPHYR_LLM_URL=https://monadical-sas--reflector-llm-zephyr-web.modal.run
+
 
 ## Using OpenAI
 #LLM_BACKEND=openai
@@ -78,11 +67,21 @@
 #LLM_OPENAI_MODEL="GPT4All Falcon"
 
 ## Default LLM MODEL NAME
-DEFAULT_LLM=lmsys/vicuna-13b-v1.5
+#DEFAULT_LLM=lmsys/vicuna-13b-v1.5
 
 ## Cache directory to store models
 CACHE_DIR=data
 
+## =======================================================
+## Diarization
+##
+## Only available on modal
+## To allow diarization, you need to expose expose the files to be dowloded by the pipeline
+## =======================================================
+DIARIZATION_ENABLED=false
+DIARIZATION_URL=https://monadical-sas--reflector-diarizer-web.modal.run
+
+
 ## =======================================================
 ## Sentry
 ## =======================================================

server/reflector/views/rtc_offer.py

@@ -71,7 +71,7 @@ async def rtc_offer_base(
 
     async def flush_pipeline_and_quit(close=True):
         # may be called twice
-        # 1. either the client ask to sotp the meeting
+        # 1. either the client asked to stop the meeting
         #    - we flush and close
         #    - when we receive the close event, we do nothing.
         # 2. or the client close the connection