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https://github.com/Khendi1/PVS.git
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khenderson96
82 lines
3.5 KiB
YAML
82 lines
3.5 KiB
YAML
services:
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# ──────────────────────────────────────────────────────────────────────────
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# Ollama — local LLM inference server
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# ──────────────────────────────────────────────────────────────────────────
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ollama:
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image: ollama/ollama:latest
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container_name: video_synth_ollama
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ports:
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- "11434:11434"
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volumes:
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- ollama_data:/root/.ollama
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-sf", "http://localhost:11434/api/tags"]
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interval: 10s
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timeout: 5s
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retries: 12
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start_period: 15s
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# ──────────────────────────────────────────────────────────────────────────
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# Video Synthesizer — headless API mode
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# Serves:
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# http://localhost:8000/ API root / info
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# http://localhost:8000/docs Interactive API docs (Swagger)
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# http://localhost:8000/ui/ React web UI
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# http://localhost:8000/stream MJPEG video stream
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# ──────────────────────────────────────────────────────────────────────────
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video_synth:
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build:
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context: .
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dockerfile: Dockerfile
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container_name: video_synth_app
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ports:
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- "8000:8000"
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volumes:
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# Persist patches/presets across container restarts
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- ./save:/app/save
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environment:
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- DISPLAY=:99
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- LIBGL_ALWAYS_SOFTWARE=1
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- QT_QPA_PLATFORM=offscreen
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "curl", "-sf", "http://localhost:8000/"]
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interval: 15s
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timeout: 5s
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retries: 10
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start_period: 30s
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# ──────────────────────────────────────────────────────────────────────────
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# AI Agent — natural-language control of the video synth via Ollama
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# Serves:
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# http://localhost:8001/ Web chat UI
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# http://localhost:8001/chat POST endpoint { "message": "..." }
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# http://localhost:8001/docs Agent API docs
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# The agent pulls the model on first start (may take a few minutes).
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# ──────────────────────────────────────────────────────────────────────────
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agent:
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build:
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context: ./agent
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dockerfile: Dockerfile
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container_name: video_synth_agent
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ports:
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- "8001:8001"
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environment:
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- SYNTH_URL=http://video_synth:8000
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- OLLAMA_URL=http://ollama:11434
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# Change this to any tool-calling model available on Ollama Hub:
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# llama3.2:3b (default, ~2 GB), llama3.1:8b (~5 GB), qwen2.5:7b (~5 GB)
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- OLLAMA_MODEL=llama3.2:3b
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depends_on:
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ollama:
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condition: service_healthy
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video_synth:
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condition: service_healthy
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restart: unless-stopped
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volumes:
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# Ollama model weights persist here so they aren't re-downloaded on restart
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ollama_data:
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