leaflet.service

[Unit]
Description=Las Agencias — semantic image retrieval & flipbook
After=network.target

[Service]
# ── Who runs the service ──────────────────────────────────────────────────────
User=ubuntu
Group=ubuntu

# ── Where the project lives ───────────────────────────────────────────────────
# Change this to the absolute path where you cloned/copied the project.
WorkingDirectory=/opt/leaflet_design

# ── Python environment ────────────────────────────────────────────────────────
# If you use a virtualenv, point ExecStart at its python binary, e.g.:
#   /opt/leaflet_design/venv/bin/python server.py ...
# Otherwise, use the system python3:
ExecStart=/usr/bin/python3 server.py \
    --hf-repo nlphuji/flickr30k \
    --host 0.0.0.0 \
    --port 8080

# Common alternatives — uncomment and edit one block, delete the other:
#
# Local image folder:
#   ExecStart=/usr/bin/python3 server.py \
#       --folder /opt/leaflet_design/images \
#       --host 0.0.0.0 \
#       --port 8080
#
# Capped dataset with a larger model:
#   ExecStart=/usr/bin/python3 server.py \
#       --hf-repo nlphuji/flickr30k \
#       --max-images 2000 \
#       --model ViT-L-14 \
#       --pretrained openai \
#       --host 0.0.0.0 \
#       --port 8080

# ── Environment ───────────────────────────────────────────────────────────────
# HuggingFace token — required only for gated datasets.
# Generate at https://huggingface.co/settings/tokens, then set here.
# Environment=HF_TOKEN=your_token_here

# Cache directory for HuggingFace datasets and model weights.
Environment=HF_HOME=/opt/leaflet_design/.hf_cache

# ── Restart behaviour ─────────────────────────────────────────────────────────
Restart=on-failure
RestartSec=10

# ── Logging ───────────────────────────────────────────────────────────────────
StandardOutput=journal
StandardError=journal
SyslogIdentifier=leaflet

[Install]
WantedBy=multi-user.target