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Download Dockerfile from NAVARASA/chathur_api: direct link, hf CLI and curl.
- Browser
- Download file 1.13 kB
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https://huggingface.co/spaces/NAVARASA/chathur_api/resolve/main/Dockerfile
- Command line
-
hf download hf://spaces/NAVARASA/chathur_api/Dockerfile
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curl -L -o Dockerfile https://huggingface.co/spaces/NAVARASA/chathur_api/resolve/main/Dockerfile
1.13 kB
| # Use an official Python image | |
| FROM python:3.10-slim | |
| # Set standard Python environment variables for containerized apps | |
| ENV PYTHONDONTWRITEBYTECODE=1 | |
| ENV PYTHONUNBUFFERED=1 | |
| # Set the working directory | |
| WORKDIR /api | |
| # --- Cache Configuration --- | |
| # Create a single, unified directory for all model caches. | |
| # Make it fully writable to prevent "Permission Denied" errors when downloading models. | |
| RUN mkdir -p /api/cache && chmod -R 777 /api/cache | |
| # Tell all relevant libraries (Hugging Face, SentenceTransformers, PyTorch) | |
| # to use this new writable directory. HF_HOME is the most important one. | |
| ENV HF_HOME=/api/cache | |
| ENV SENTENCE_TRANSFORMERS_HOME=/api/cache | |
| ENV TORCH_HOME=/api/cache | |
| # --- End Cache Configuration --- | |
| # Install dependencies | |
| # Copy only the requirements file first to leverage Docker layer caching | |
| COPY requirements.txt . | |
| RUN pip install --upgrade pip | |
| RUN pip install -r requirements.txt | |
| # Copy the rest of the application code into the container | |
| COPY . . | |
| # Expose the port the app runs on | |
| EXPOSE 7860 | |
| # Command to run the application | |
| CMD ["uvicorn", "api.main:app", "--host", "0.0.0.0", "--port", "7860"] |