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This reverts commit 977740045a
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@ -1,26 +1,19 @@
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FROM python:3.10 as builder
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ENV PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PIP_NO_CACHE_DIR=true
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COPY requirements.txt ./
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RUN python -m venv /opt/venv && \
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/opt/venv/bin/pip install --upgrade pip setuptools wheel && \
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/opt/venv/bin/pip install --no-deps -r requirements.txt
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FROM python:3.10-slim
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COPY --from=builder /opt/venv /opt/venv
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FROM python:3.10
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ENV TRANSFORMERS_CACHE=/cache \
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PYTHONDONTWRITEBYTECODE=1 \
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PYTHONUNBUFFERED=1 \
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PATH="/opt/venv/bin:$PATH"
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PIP_NO_CACHE_DIR=true
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WORKDIR /usr/src/app
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RUN python -m venv /opt/venv
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ENV PATH="/opt/venv/bin:$PATH"
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RUN pip install --pre torch -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
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RUN pip install transformers tqdm numpy scikit-learn scipy nltk sentencepiece flask Pillow
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RUN pip install --no-deps sentence-transformers
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COPY . .
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CMD ["gunicorn", "src.main:server"]
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CMD ["python", "src/main.py"]
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@ -1,29 +0,0 @@
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"""
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Gunicorn configuration options.
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https://docs.gunicorn.org/en/stable/settings.html
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"""
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import os
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# Set the bind address based on the env
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port = os.getenv("MACHINE_LEARNING_PORT") or "3003"
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listen_ip = os.getenv("MACHINE_LEARNING_IP") or "0.0.0.0"
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bind = [f"{listen_ip}:{port}"]
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# Preload the Flask app / models etc. before starting the server
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preload_app = True
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# Logging settings - log to stdout and set log level
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accesslog = "-"
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loglevel = os.getenv("MACHINE_LEARNING_LOG_LEVEL") or "info"
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# Worker settings
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# ----------------------
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# It is important these are chosen carefully as per
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# https://pythonspeed.com/articles/gunicorn-in-docker/
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# Otherwise we get workers failing to respond to heartbeat checks,
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# especially as requests take a long time to complete.
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workers = 2
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threads = 4
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worker_tmp_dir = "/dev/shm"
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timeout = 60
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@ -1,33 +0,0 @@
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certifi==2022.12.7
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charset-normalizer==3.0.1
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click==8.1.3
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filelock==3.9.0
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Flask==2.2.3
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gunicorn==20.1.0
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huggingface-hub==0.12.1
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idna==3.4
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importlib-metadata==6.0.0
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itsdangerous==2.1.2
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Jinja2==3.1.2
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joblib==1.2.0
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MarkupSafe==2.1.2
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nltk==3.8.1
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numpy==1.24.2
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packaging==23.0
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Pillow==9.4.0
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PyYAML==6.0
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regex==2022.10.31
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requests==2.28.2
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scikit-learn==1.2.1
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scipy==1.10.1
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sentence-transformers==2.2.2
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sentencepiece==0.1.97
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threadpoolctl==3.1.0
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tokenizers==0.13.2
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torch==1.13.1 -f https://download.pytorch.org/whl/nightly/cpu/torch_nightly.html
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tqdm==4.64.1
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transformers==4.26.1
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typing-extensions==4.5.0
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urllib3==1.26.14
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Werkzeug==2.2.3
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zipp==3.15.0
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