Ajusta docker

docker-compose.yml

@@ -4,27 +4,32 @@
 # OPENROUTER_MODEL="openai/gpt-oss-20b:free"
 
 services:
-  video-render-new:
+  video-render:
     restart: unless-stopped
     build: .
-    container_name: video-render-new
+    container_name: video-render
     environment:
       # RabbitMQ credentials
-      - RABBITMQ_PASS=${RABBITMQ_PASS}
-      - GEMINI_API_KEY=${GEMINI_API_KEY}
+      # - RABBITMQ_PASS=${RABBITMQ_PASS}
+      - RABBITMQ_PASS="L@l321321321"
+      # - GEMINI_API_KEY=${GEMINI_API_KEY}
+      - GEMINI_API_KEY="AIzaSyB5TPjSPPZG1Qb6EtblhKFAjvCOdY15rcw"
       - GEMINI_MODEL=${GEMINI_MODEL:-gemini-2.5-pro}
-      - OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
+      # - OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
+      - OPENROUTER_API_KEY="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"
       - OPENROUTER_MODEL=${OPENROUTER_MODEL:-openai/gpt-oss-20b:free}
       - FASTER_WHISPER_MODEL_SIZE=${FASTER_WHISPER_MODEL_SIZE:-small}
-    ports:
-      - "5000:5000"
+    # ports:
+    #   - "5000:5000"
     volumes:
       # Mount host directories into the container so that videos can be
       # provided and outputs collected. These paths can be customised when
       # deploying the stack. The defaults assume /root/videos and
       # /root/outputs on the host.
-      - "/root/videos:/app/videos"
-      - "/root/outputs:/app/outputs"
+      # - "/root/videos:/app/videos"
+      # - "/root/outputs:/app/outputs"
+      - "./videos:/app/videos"
+      - "./outputs:/app/outputs"
     command: "python -u main.py"
     # runtime: nvidia