Spaces:
Sleeping
Sleeping
File size: 6,780 Bytes
a9f33d0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 |
# # Use the official Python image
# FROM python:3.10-slim
# # Set environment variables
# ENV PYTHONDONTWRITEBYTECODE=1
# ENV PYTHONUNBUFFERED=1
# ENV TRANSFORMERS_CACHE=/data/huggingface/cache
# ENV HF_HOME=/app/.huggingface
# # Set the working directory
# WORKDIR /app
# # Install system dependencies
# RUN apt-get update && apt-get install -y \
# git \
# && rm -rf /var/lib/apt/lists/*
# # Create the Hugging Face cache directory and set proper permissions
# RUN mkdir -p /app/.huggingface && chmod -R 777 /app/.huggingface
# # Copy project files
# COPY . .
# # Install Python dependencies
# RUN pip install --no-cache-dir --upgrade pip \
# && pip install --no-cache-dir -r requirements.txt
# # Expose the port FastAPI runs on
# EXPOSE 7860
# # Start the API using uvicorn
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
# # Use the official Python image
# FROM python:3.10-slim
# # Set environment variables
# ENV PYTHONDONTWRITEBYTECODE=1
# ENV PYTHONUNBUFFERED=1
# ENV HF_HOME=/app/.huggingface
# # Set the working directory
# WORKDIR /app
# # Install system dependencies
# RUN apt-get update && apt-get install -y \
# git \
# && rm -rf /var/lib/apt/lists/*
# # Create necessary directories and set permissions
# RUN mkdir -p /app/.huggingface /app/pegasus_model \
# && chmod -R 777 /app/.huggingface /app/pegasus_model
# # Create necessary directories and set permissions
# RUN mkdir -p /app/.huggingface /app/pegasus_model /app/nltk_data \
# && chmod -R 777 /app/.huggingface /app/pegasus_model /app/nltk_data
# ENV NLTK_DATA=/app/nltk_data
# # Copy project files
# COPY . .
# # Install Python dependencies
# RUN pip install --no-cache-dir --upgrade pip \
# && pip install --no-cache-dir -r requirements.txt \
# && pip install --no-cache-dir huggingface_hub
# # Download the Pegasus model and tokenizer
# RUN python3 -c "from huggingface_hub import snapshot_download; snapshot_download(repo_id='tuner007/pegasus_paraphrase', local_dir='/app/pegasus_model')"
# # Expose the port FastAPI runs on
# EXPOSE 7860
# # Start the API using uvicorn
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
##------------------------------------------------- add nltk------------------------------------------------
# # Use the official Python image
# FROM python:3.10-slim
# # Set environment variables
# ENV PYTHONDONTWRITEBYTECODE=1
# ENV PYTHONUNBUFFERED=1
# ENV HF_HOME=/app/.huggingface
# ENV NLTK_DATA=/app/nltk_data
# # Set the working directory
# WORKDIR /app
# # Install system dependencies
# RUN apt-get update && apt-get install -y \
# git \
# && rm -rf /var/lib/apt/lists/*
# # Create necessary directories and set permissions
# RUN mkdir -p /app/.huggingface /app/pegasus_model /app/nltk_data \
# && chmod -R 777 /app/.huggingface /app/pegasus_model /app/nltk_data
# # Copy project files (excluding large model weights)
# COPY . .
# # Install Python dependencies
# RUN pip install --no-cache-dir --upgrade pip \
# && pip install --no-cache-dir -r requirements.txt \
# && pip install --no-cache-dir huggingface_hub
# # Download the Pegasus model and tokenizer from Hugging Face
# RUN python3 -c "from huggingface_hub import snapshot_download; snapshot_download(repo_id='tuner007/pegasus_paraphrase', local_dir='/app/pegasus_model')"
# # # Download NLTK 'punkt' tokenizer only
# # RUN python3 -m nltk.downloader punkt && cp -r /root/nltk_data/tokenizers /app/nltk_data/
# # Download NLTK 'punkt' tokenizer only (to correct path)
# RUN python3 -m nltk.downloader -d /app/nltk_data punkt
# ENV NLTK_DATA=/app/nltk_data
# # Expose the port FastAPI runs on
# EXPOSE 7860
# # Start the API using uvicorn
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
#######################################
# # Use the official Python image with slim variant
# FROM python:3.10-slim
# # Set environment variables
# ENV PYTHONDONTWRITEBYTECODE=1 \
# PYTHONUNBUFFERED=1 \
# HF_HOME=/app/.huggingface \
# NLTK_DATA=/app/nltk_data \
# PORT=7860 \
# MAX_TOKENS=3500
# # Set the working directory
# WORKDIR /app
# # Install system dependencies
# RUN apt-get update && \
# apt-get install -y --no-install-recommends git && \
# rm -rf /var/lib/apt/lists/*
# # Create necessary directories with appropriate permissions
# RUN mkdir -p /app/.huggingface /app/pegasus_model /app/nltk_data && \
# chmod -R 777 /app/.huggingface /app/pegasus_model /app/nltk_data
# # Install Python dependencies and NLTK data
# COPY requirements.txt .
# RUN pip install --no-cache-dir --upgrade pip && \
# pip install --no-cache-dir -r requirements.txt && \
# python -m nltk.downloader -d /app/nltk_data punkt punkt_tab averaged_perceptron_tagger && \
# rm -rf /root/.cache/pip
# # Copy application code
# COPY . .
# # Download the Pegasus model
# RUN python -c "from huggingface_hub import snapshot_download; snapshot_download(repo_id='tuner007/pegasus_paraphrase', local_dir='/app/pegasus_model')"
# # Expose the port
# EXPOSE $PORT
# # Start the API
# CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
################### work ######################
# Use the official Python image with slim variant
FROM python:3.10-slim
# Set environment variables (fixed syntax)
ENV PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
HF_HOME=/app/.huggingface \
NLTK_DATA=/app/nltk_data \
PORT=7860 \
OMP_NUM_THREADS=1 \
TOKENIZERS_PARALLELISM=false
# Set the working directory
WORKDIR /app
# Install system dependencies
RUN apt-get update && \
apt-get install -y --no-install-recommends git && \
rm -rf /var/lib/apt/lists/*
# Create necessary directories with appropriate permissions
RUN mkdir -p /app/.huggingface /app/pegasus_model /app/nltk_data && \
chmod -R 777 /app/.huggingface /app/pegasus_model /app/nltk_data
# Install Python dependencies and NLTK data
COPY requirements.txt .
RUN pip install --no-cache-dir --upgrade pip && \
pip install --no-cache-dir -r requirements.txt && \
python -m nltk.downloader -d /app/nltk_data punkt punkt_tab && \
rm -rf /root/.cache/pip
# Copy application code
COPY . .
# Download the Pegasus model
RUN python -c "from huggingface_hub import snapshot_download; snapshot_download(repo_id='tuner007/pegasus_paraphrase', local_dir='/app/pegasus_model')"
# Expose the port
EXPOSE $PORT
# Start the API
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"] |