Mikei386
d399d2b4f7
- Neues xtts_worker.py: Coqui XTTS-v2, HTTP-API auf Port 8085 - Router: TTS_WORKER_URL → 8085, TTS_MODEL → xtts-v2, TTS_VOICES → claribel - deploy: mike-ai-xtts.service, install.sh + deploy.sh aktualisiert - Tests: 54/54 bestanden (mock_tts_worker + test_local.sh auf XTTS umgestellt) - README: TTS-Section auf XTTS-v2 aktualisiert - Kokoro-Service gestoppt und deaktiviert (Dateien bleiben als Backup)
159 lines
5.9 KiB
Bash
Executable File
159 lines
5.9 KiB
Bash
Executable File
#!/bin/bash
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# AI Profile Router – Installation/Update auf dem Zielsystem.
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# Wird als root auf dem Zielsystem ausgeführt (per SSH, vgl. deploy.sh).
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# Erwartet ai_profile_router.py, image_worker.py, xtts_worker.py,
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# mike-ai-profile-router.service und mike-ai-xtts.service im selben
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# Verzeichnis wie dieses Skript.
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set -euo pipefail
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DIR="$(cd "$(dirname "$0")" && pwd)"
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INSTALL_DIR=/opt/mike-ai/ai-profile-router
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SERVICE=mike-ai-profile-router.service
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XTTS_SERVICE=mike-ai-xtts.service
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WHISPER_SERVICE=mike-ai-whisper.service
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OLD_SERVICE=mike-ai-local-llm-router.service
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OLD_DIR=/opt/mike-ai/local-llm-router
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BACKUP_DIR=/opt/mike-ai/.backup-ai-profile-router-$(date +%Y%m%d-%H%M%S)
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VENV="$INSTALL_DIR/venv"
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MODEL_DIR=/opt/mike-ai/models/FLUX.2-klein-base-4B
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IMAGE_DIR="$INSTALL_DIR/images"
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XTTS_VENV=/opt/mike-ai/xtts/venv
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XTTS_CACHE=/opt/mike-ai/xtts/.cache
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echo "== AI Profile Router: Installation/Update =="
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# --- 1. Bestehenden (alten) Router entfernen, mit Backup -------------------
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if [ -f "/etc/systemd/system/${OLD_SERVICE}" ]; then
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echo "-- Entferne alten Router ${OLD_SERVICE} (Backup: ${BACKUP_DIR})"
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mkdir -p "$BACKUP_DIR"
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systemctl stop "$OLD_SERVICE" 2>/dev/null || true
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systemctl disable "$OLD_SERVICE" 2>/dev/null || true
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mv "/etc/systemd/system/${OLD_SERVICE}" "$BACKUP_DIR/"
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if [ -d "$OLD_DIR" ]; then
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mv "$OLD_DIR" "$BACKUP_DIR/local-llm-router"
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fi
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else
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echo "-- Kein alter Router gefunden"
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fi
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# --- 2. Neue Dateien installieren -------------------------------------------
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mkdir -p "$INSTALL_DIR" "$IMAGE_DIR"
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install -m 0755 "$DIR/ai_profile_router.py" "$INSTALL_DIR/ai_profile_router.py"
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install -m 0755 "$DIR/image_worker.py" "$INSTALL_DIR/image_worker.py"
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install -m 0755 "$DIR/xtts_worker.py" "$INSTALL_DIR/xtts_worker.py"
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install -m 0755 "$DIR/stt_worker.py" "$INSTALL_DIR/stt_worker.py"
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install -m 0644 "$DIR/${SERVICE}" "/etc/systemd/system/${SERVICE}"
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install -m 0644 "$DIR/${XTTS_SERVICE}" "/etc/systemd/system/${XTTS_SERVICE}"
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install -m 0644 "$DIR/${WHISPER_SERVICE}" "/etc/systemd/system/${WHISPER_SERVICE}"
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# --- 3. Python-Venv mit Bild-Abhängigkeiten ---------------------------------
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if [ ! -x "$VENV/bin/python" ]; then
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echo "-- Erstelle Python-Venv in $VENV"
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python3 -m venv "$VENV"
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fi
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echo "-- Installiere/aktualisiere Bild-Abhängigkeiten (torch, diffusers, ...)"
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"$VENV/bin/pip" install --quiet --upgrade pip
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"$VENV/bin/pip" install --quiet \
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torch \
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diffusers \
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transformers \
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accelerate
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# --- 4. FLUX-Modell (nur wenn noch nicht vorhanden) --------------------------
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if [ -f "$MODEL_DIR/model_index.json" ]; then
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echo "-- FLUX-Modell vorhanden: $MODEL_DIR"
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else
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echo "-- Lade FLUX.2-klein-base-4B nach $MODEL_DIR (kann dauern)"
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"$VENV/bin/python" - <<'PY'
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import os
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from huggingface_hub import snapshot_download
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snapshot_download(
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repo_id="black-forest-labs/FLUX.2-klein-base-4B",
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local_dir="/opt/mike-ai/models/FLUX.2-klein-base-4B",
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local_dir_use_symlinks=False,
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)
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print("Modell-Download abgeschlossen")
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PY
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fi
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# --- 5. TTS (XTTS-v2) ----------------------------------------------------------
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# XTTS-Venv (Python 3.11 via uv + CPU-only torch + Coqui TTS)
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if [ ! -x "$XTTS_VENV/bin/python" ]; then
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echo "-- Erstelle XTTS-Venv in $XTTS_VENV (Python 3.11 via uv)"
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mkdir -p "$XTTS_VENV"
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# uv installieren (falls noch nicht vorhanden)
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if ! command -v uv >/dev/null 2>&1; then
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curl -LsSf https://astral.sh/uv/install.sh | sh
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export PATH="$HOME/.local/bin:$PATH"
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fi
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uv venv --python 3.11 "$XTTS_VENV"
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"$XTTS_VENV/bin/pip" install --quiet --upgrade pip
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echo "-- Installiere CPU-only torch"
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"$XTTS_VENV/bin/pip" install --quiet torch torchaudio \
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--index-url https://download.pytorch.org/whl/cpu
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echo "-- Installiere Coqui TTS + Abhängigkeiten"
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"$XTTS_VENV/bin/pip" install --quiet \
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TTS==0.22.0 transformers==4.40.2 tokenizers==0.19.1 \
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huggingface-hub==0.36.2 librosa soundfile
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# PyTorch 2.6+ weights_only-Patch für Coqui TTS
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echo "-- Wende weights_only-Patch für Coqui TTS an"
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"$XTTS_VENV/bin/python" - <<'PY'
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import os
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patch_file = os.path.expanduser("/opt/mike-ai/xtts/venv/lib/python3.11/site-packages/TTS/utils/io.py")
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with open(patch_file, 'r') as f:
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content = f.read()
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if 'weights_only=False' not in content:
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content = content.replace(
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'return torch.load(f, map_location=map_location, **kwargs)',
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'return torch.load(f, map_location=map_location, weights_only=False, **kwargs)'
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)
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with open(patch_file, 'w') as f:
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f.write(content)
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print("Patch angewendet")
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else:
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print("Patch bereits vorhanden")
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PY
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fi
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# XTTS-v2-Modell (nur wenn noch nicht vorhanden)
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if [ ! -d "$XTTS_CACHE/hub/models--coqui--tts_models--multilingual--multi-dataset--xtts_v2" ]; then
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echo "-- Lade XTTS-v2-Modell (kann dauern, ~1.9 GB)"
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"$XTTS_VENV/bin/python" - <<'PY'
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import os
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os.environ["HF_HOME"] = "/opt/mike-ai/xtts/.cache"
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from TTS.api import TTS
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tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2")
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print("Modell geladen")
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PY
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fi
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# --- 6. Services aktivieren und starten ---------------------------------------
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systemctl daemon-reload
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systemctl enable "$SERVICE" "$XTTS_SERVICE" "$WHISPER_SERVICE"
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systemctl restart "$XTTS_SERVICE"
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systemctl restart "$WHISPER_SERVICE"
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systemctl restart "$SERVICE"
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# --- 7. Verifikation ----------------------------------------------------------
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sleep 1
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if ! systemctl is-active --quiet "$SERVICE"; then
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echo "-- FEHLER: Router-Service läuft nicht" >&2
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journalctl -u "$SERVICE" -n 20 --no-pager >&2
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exit 1
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fi
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echo "-- Router-Service läuft"
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if ! systemctl is-active --quiet "$XTTS_SERVICE"; then
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echo "-- FEHLER: XTTS-Service läuft nicht" >&2
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journalctl -u "$XTTS_SERVICE" -n 20 --no-pager >&2
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exit 1
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fi
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echo "-- XTTS-Service läuft"
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if ! systemctl is-active --quiet "$WHISPER_SERVICE"; then
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echo "-- FEHLER: Whisper-Service läuft nicht" >&2
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journalctl -u "$WHISPER_SERVICE" -n 20 --no-pager >&2
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exit 1
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fi
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echo "-- Whisper-Service läuft"
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curl -sf "http://127.0.0.1:8081/status" | python3 -m json.tool
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echo "== Fertig =="
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