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compose/ai/Dockerfile
2026-05-09 04:09:57 +00:00

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Docker

# 1. On récupère la version la plus récente d'UV
FROM ghcr.io/astral-sh/uv:latest AS uv_source
# 2. Image de base stable
FROM debian:stable-slim
# Disable Python stdout buffering to ensure logs are printed immediately
ENV PYTHONUNBUFFERED=1
# Install system dependencies in one layer, clear APT cache
# tini reaps orphaned zombie processes (MCP stdio subprocesses, git, bun, etc.)
RUN apt-get update && \
apt-get install -y --no-install-recommends \
build-essential python3 ripgrep ffmpeg gcc python3-dev libffi-dev procps git openssh-client docker-cli tini \
curl poppler-utils imagemagick \
texlive-latex-base texlive-latex-extra texlive-fonts-recommended texlive-xetex texlive-science \
qemu-user-static binfmt-support qemu-user-binfmt \
emacs-nox \
libportaudio2 \
hipcc espeak-ng && \
rm -rf /var/lib/apt/lists/*
# Création de l'utilisateur 'hermes' directement avec les bons accès
RUN useradd -u 10000 -m -d /opt/data hermes
# Copie d'uv (dernière version)
COPY --chmod=0755 --from=uv_source /uv /usr/local/bin/
WORKDIR /opt/hermes
# On donne la propriété du dossier de travail à l'utilisateur hermes
RUN chown hermes:hermes /opt/hermes
# ---------- Coqui TTS venv (Python 3.11 + PyTorch ROCm) ----------
# Install Python 3.11 via uv for Coqui compatibility
RUN uv python install 3.11
# Create the coqui venv and install PyTorch ROCm + TTS
RUN uv venv --python 3.11 /opt/coqui-tts
RUN uv pip install --python /opt/coqui-tts/bin/python3 --no-cache-dir \
torch==2.3.1+rocm5.7 \
torchaudio==2.3.1+rocm5.7 \
--index-url https://download.pytorch.org/whl/rocm5.7
RUN uv pip install --python /opt/coqui-tts/bin/python3 --no-cache-dir TTS setuptools
# Fix executable stack on bundled torch AMD libraries (required for ROCm)
RUN /opt/coqui-tts/bin/python3 -c "
import struct, os, glob
torch_lib = '/opt/coqui-tts/lib/python3.11/site-packages/torch/lib'
for so in glob.glob(os.path.join(torch_lib, '*.so*')):
try:
with open(so, 'r+b') as f:
if f.read(4) != b'\x7fELF': continue
f.seek(0)
h = f.read(64)
e_phoff = struct.unpack_from('<Q', h, 0x20)[0]
e_phentsize = struct.unpack_from('<H', h, 0x36)[0]
e_phnum = struct.unpack_from('<H', h, 0x38)[0]
for i in range(e_phnum):
f.seek(e_phoff + i * e_phentsize)
ph = f.read(e_phentsize)
if struct.unpack_from('<I', ph, 0)[0] == 0x6474e551:
flags = struct.unpack_from('<I', ph, 4)[0]
if flags & 1:
f.seek(e_phoff + i * e_phentsize + 4)
f.write(struct.pack('<I', flags - 1))
break
except: pass
"
# Créer le wrapper Coqui synth
RUN /opt/coqui-tts/bin/python3 -c "
script = '''#!/usr/bin/env python3
import argparse, sys
def main():
parser = argparse.ArgumentParser()
parser.add_argument('--text', required=True)
parser.add_argument('--out', required=True)
parser.add_argument('--model', default='tts_models/en/vctk/vits')
parser.add_argument('--speaker', default='')
parser.add_argument('--gpu', action='store_true', default=True)
args = parser.parse_args()
try:
from TTS.api import TTS
tts = TTS(model_name=args.model, progress_bar=False, gpu=args.gpu)
kwargs = {'text': args.text, 'file_path': args.out}
if args.speaker and hasattr(tts, 'speakers') and tts.speakers:
kwargs['speaker'] = args.speaker
tts.tts_to_file(**kwargs)
print('OK:' + args.out)
except Exception as e:
print('ERROR:' + str(e), file=sys.stderr)
sys.exit(1)
if __name__ == '__main__':
main()
'''
with open('/opt/coqui-tts/bin/coqui_synth.py', 'w') as f:
f.write(script)
import os; os.chmod('/opt/coqui-tts/bin/coqui_synth.py', 0o755)
"
# ---------- Hermes venv ----------
# Passer immédiatement sous l'utilisateur hermes pour tout le reste du build
USER hermes
# ---------- Source code ----------
# On copie tout le projet d'un coup sans assumer la présence de fichiers de lock spécifiques
COPY --chown=hermes:hermes . .
# ---------- Python virtualenv ----------
RUN uv venv && \
uv pip install --no-cache-dir sounddevice numpy faster-whisper
# ---------- Patch tts_tool.py to add Coqui provider ----------
RUN /opt/hermes/.venv/bin/python3 -c "
tts_path = '/opt/hermes/.venv/lib/python3.13/site-packages/tools/tts_tool.py'
with open(tts_path) as f:
code = f.read()
coqui_block = '''
elif provider == \"coqui\":
logger.info(\"Generating speech with Coqui TTS (GPU, local)...\")
import subprocess
coqui_python = \"/opt/coqui-tts/bin/python3\"
coqui_script = \"/opt/coqui-tts/bin/coqui_synth.py\"
coqui_config = tts_config.get(\"coqui\", {})
model = coqui_config.get(\"model\", \"tts_models/en/vctk/vits\")
use_gpu = coqui_config.get(\"use_gpu\", True)
speaker = coqui_config.get(\"speaker\", \"\")
cmd = [
coqui_python, coqui_script,
\"--text\", text,
\"--out\", file_str,
\"--model\", model,
]
if use_gpu:
cmd.append(\"--gpu\")
if speaker:
cmd.extend([\"--speaker\", speaker])
result = subprocess.run(cmd, capture_output=True, text=True, timeout=120)
if result.returncode != 0:
stderr = result.stderr.strip()
raise RuntimeError(f\"Coqui TTS failed: {stderr or 'unknown error'}\")
logger.info(\"Coqui TTS audio saved: %s\", file_str)
'''
code = code.replace(
' else:\n # Default: Edge TTS (free), with NeuTTS as local fallback',
coqui_block + ' else:\n # Default: Edge TTS (free), with NeuTTS as local fallback'
)
with open(tts_path, 'w') as f:
f.write(code)
"
# ---------- Runtime ----------
ENV HERMES_HOME=/opt/data
ENV PATH="/opt/data/.local/bin:${PATH}"
VOLUME [ "/opt/data" ]
# Le conteneur tourne de manière ultra-sécurisée sous l'utilisateur hermes dès le départ
ENTRYPOINT [ "/usr/bin/tini", "-g", "--", "/opt/hermes/docker/entrypoint.sh" ]