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Download Dockerfile from ModelByNikhil/poultry-analysis: direct link, hf CLI and curl.
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https://huggingface.co/spaces/ModelByNikhil/poultry-analysis/resolve/main/Dockerfile
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hf download hf://spaces/ModelByNikhil/poultry-analysis/Dockerfile
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curl -L -o Dockerfile https://huggingface.co/spaces/ModelByNikhil/poultry-analysis/resolve/main/Dockerfile
775 Bytes
| # Use an official Python runtime as a parent image | |
| FROM python:3.9-slim | |
| # Set the working directory in the container | |
| WORKDIR /app | |
| # 1. Install system dependencies | |
| # CHANGED: 'libgl1-mesa-glx' is replaced by 'libgl1' for newer Debian versions | |
| RUN apt-get update && apt-get install -y \ | |
| libgl1 \ | |
| libglib2.0-0 \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # 2. Copy your project files into the container | |
| COPY . . | |
| # 3. Install Python libraries | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # 4. Create the artifacts folder and give it write permissions | |
| RUN mkdir -p artifacts && chmod 777 artifacts | |
| # 5. Hugging Face Spaces expects the app to run on port 7860 | |
| EXPOSE 7860 | |
| # 6. Command to start the API | |
| CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"] |