studycraft / docker-compose.yml
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fix: resolve HuggingFace deployment issues (video API, sanitization, prompt engineering, section detection)
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services:
studycraft:
build: .
ports:
- "8000:8000"
env_file:
- .env
environment:
- PYTHONIOENCODING=utf-8
# For faster HuggingFace model downloads, set HF_TOKEN in .env
# This reduces rate limiting for RAG embedding downloads
volumes:
- ./output:/app/output
- ./uploads:/app/uploads
- ./rag_index:/app/rag_index
healthcheck:
test:
[
"CMD",
"python",
"-c",
"import urllib.request; urllib.request.urlopen('http://localhost:8000/')",
]
interval: 30s
timeout: 10s
retries: 3
start_period: 30s
restart: unless-stopped