server: started updating documentation

README.md

@@ -6,7 +6,7 @@ The project architecture consists of three primary components:
 
 * **Front-End**: NextJS React project hosted on Vercel, located in `www/`.
 * **Back-End**: Python server that offers an API and data persistence, found in `server/`.
-* **AI Models**: Providing services such as speech-to-text transcription, topic generation, automated summaries, and translations.
+* **GPU implementation**: Providing services such as speech-to-text transcription, topic generation, automated summaries, and translations.
 
 It also uses https://github.com/fief-dev for authentication, and Vercel for deployment and configuration of the front-end.
 
@@ -120,6 +120,9 @@ TRANSCRIPT_MODAL_API_KEY=<omitted>
 LLM_BACKEND=modal
 LLM_URL=https://monadical-sas--reflector-llm-web.modal.run
 LLM_MODAL_API_KEY=<omitted>
+TRANSLATE_URL=https://monadical-sas--reflector-translator-web.modal.run
+ZEPHYR_LLM_URL=https://monadical-sas--reflector-llm-zephyr-web.modal.run
+DIARIZATION_URL=https://monadical-sas--reflector-diarizer-web.modal.run
 
 AUTH_BACKEND=fief
 AUTH_FIEF_URL=https://auth.reflector.media/reflector-local
@@ -138,6 +141,10 @@ Use:
 poetry run python3 -m reflector.app
 ```
 
+And start the background worker
+
+celery -A reflector.worker.app worker --loglevel=info
+
 #### Using docker
 
 Use:

docker-compose.yml

@@ -5,10 +5,19 @@ services:
       context: server
     ports:
       - 1250:1250
-    environment:
-      LLM_URL: "${LLM_URL}"
     volumes:
       - model-cache:/root/.cache
+    environment: ENTRYPOINT=server
+  worker:
+    build:
+      context: server
+    volumes:
+      - model-cache:/root/.cache
+    environment: ENTRYPOINT=worker
+  redis:
+    image: redis:7.2
+    ports:
+      - 6379:6379
   web:
     build:
       context: www
@@ -17,4 +26,3 @@ services:
 
 volumes:
   model-cache:
-

server/docker-compose.yml

@@ -1,15 +1,23 @@
 version: "3.9"
 services:
-  # server:
-  #   build:
-  #     context: .
-  #   ports:
-  #     - 1250:1250
-  #   environment:
-  #     LLM_URL: "${LLM_URL}"
-  #     MIN_TRANSCRIPT_LENGTH: "${MIN_TRANSCRIPT_LENGTH}"
-  #   volumes:
-  #     - model-cache:/root/.cache
+  server:
+    build:
+      context: .
+    ports:
+      - 1250:1250
+    volumes:
+      - model-cache:/root/.cache
+    environment:
+      ENTRYPOINT: server
+      REDIS_HOST: redis
+  worker:
+    build:
+      context: .
+    volumes:
+      - model-cache:/root/.cache
+    environment:
+      ENTRYPOINT: worker
+      REDIS_HOST: redis
   redis:
     image: redis:7.2
     ports:

server/runserver.sh

@@ -4,4 +4,11 @@ if [ -f "/venv/bin/activate" ]; then
     source /venv/bin/activate
 fi
 alembic upgrade head
+
+if [ "${ENTRYPOINT}" = "server" ]; then
     python -m reflector.app
+elif [ "${ENTRYPOINT}" = "worker" ]; then
+    celery -A reflector.worker.app worker --loglevel=info
+else
+    echo "Unknown command"
+fi