init-parler tts

tutorials/indic/tts/README.md

@@ -1,12 +1,34 @@
 TTS -
 
+- Download model from Huggingface
+  - huggingface-cli download ai4bharat/indic-parler-tts
 
 - Run with Docker compose
-  - 
+  - docker compose -f indic-tts-compose.yml  up --detach parler-tts-server
+
+- Test output
+  - curl -s -H "content-type: application/json" localhost:8000/v1/audio/speech -d '{"input": "Hey, how are you?"}' -o audio.mp3
+
+
+--- 
+TODO
 
 - Create docker image
   - docker build -t indic-parler-tts .
 
 - Run the container
   -  docker run -d -p 8000:8000 -v ~/.cache/huggingface:/root/.cache/huggingface parler-tts
 
+
+
+-  huggingface-cli download  parler-tts/parler-tts-mini-expresso
+
+- with fedirz/parler-tts
+  - ai4bharat/indic-parler-tts
+    - huggingface-cli download ai4bharat/indic-parler-tts
+    - docker run --detach --volume ~/.cache/huggingface:/root/.cache/huggingface --publish 8000:8000 --env MODEL="ai4bharat/indic-parler-tts" fedirz/parler-tts-server
+  - parler-tts/parler-tts-mini-expresso
+    -  huggingface-cli download  parler-tts/parler-tts-mini-expresso
+    - docker run --detach --volume ~/.cache/huggingface:/root/.cache/huggingface --publish 8000:8000 --env MODEL="parler-tts/parler-tts-mini-expresso" fedirz/parler-tts-server
+
+- curl -s -H "content-type: application/json" localhost:8000/v1/audio/speech -d '{"input": "Hey, how are you?"}' -o audio.mp3

tutorials/indic/tts/indic-tts-compose.yml

@@ -1,28 +1,34 @@
 services:
-  parler-tts:
-    build: .
-    image: pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime
-    ports:
-      - "8000:8000"
+  parler-tts-server:
+    image: fedirz/parler-tts-server
+    build:
+      dockerfile: Dockerfile
+      context: .
+      platforms:
+        - linux/amd64
+      tags:
+        - fedirz/parler-tts-server
+    develop:
+      watch:
+        - path: ./parler_tts_server
+          action: rebuild
     volumes:
       - ~/.cache/huggingface:/root/.cache/huggingface
+    restart: unless-stopped
+    ports:
+      - 8000:8000
     environment:
-      - TZ=UTC
-      - MODEL_NAME=ai4bharat/indic-parler-tts
-      - PYTHONUNBUFFERED=1
+      - MODEL=ai4bharat/indic-parler-tts
+    healthcheck:
+      test: curl --fail http://0.0.0.0:8000/health || exit 1
+      interval: 10s
+      timeout: 10s
+      retries: 3
+      start_period: 15s
     deploy:
       resources:
         reservations:
           devices:
             - driver: nvidia
               device_ids: ['0']
               capabilities: [gpu]
-    restart: unless-stopped
-    healthcheck:
-      test: ["CMD", "nvidia-smi"]
-      interval: 30s
-      timeout: 10s
-      retries: 3
-
-volumes:
-  huggingface_cache:

tutorials/indic/tts/test-compose.yml

@@ -0,0 +1,28 @@
+services:
+  parler-tts:
+    build: .
+    image: pytorch/pytorch:2.5.1-cuda12.4-cudnn9-runtime
+    ports:
+      - "8000:8000"
+    volumes:
+      - ~/.cache/huggingface:/root/.cache/huggingface
+    environment:
+      - TZ=UTC
+      - MODEL_NAME=ai4bharat/indic-parler-tts
+      - PYTHONUNBUFFERED=1
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              device_ids: ['0']
+              capabilities: [gpu]
+    restart: unless-stopped
+    healthcheck:
+      test: ["CMD", "nvidia-smi"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+
+volumes:
+  huggingface_cache: