Download Dockerfile from pkm13/SEO: direct link, hf CLI and curl.
- Browser
- Download file 988 Bytes
-
https://huggingface.co/spaces/pkm13/SEO/resolve/main/Dockerfile
- Command line
-
hf download hf://spaces/pkm13/SEO/Dockerfile
-
curl -L -o Dockerfile https://huggingface.co/spaces/pkm13/SEO/resolve/main/Dockerfile
988 Bytes
| FROM python:3.11-slim | |
| WORKDIR /app | |
| # Install system dependencies | |
| RUN apt-get update && apt-get install -y \ | |
| build-essential \ | |
| curl \ | |
| git \ | |
| && rm -rf /var/lib/apt/lists/* | |
| # Copy requirements | |
| COPY requirements.txt . | |
| RUN pip install --no-cache-dir -r requirements.txt | |
| # Download Hugging Face models during build (cached in image) | |
| RUN python -c "from transformers import pipeline; pipeline('token-classification', model='ml6team/keyphrase-extraction-distilbert-inspec')" | |
| RUN python -c "from sentence_transformers import SentenceTransformer; SentenceTransformer('all-MiniLM-L6-v2')" | |
| RUN python -c "from transformers import BartForConditionalGeneration, BartTokenizer; BartForConditionalGeneration.from_pretrained('facebook/bart-large-cnn'); BartTokenizer.from_pretrained('facebook/bart-large-cnn')" | |
| # Copy application code | |
| COPY . . | |
| # Expose port (default for HF Spaces) | |
| EXPOSE 7860 | |
| # Run FastAPI server | |
| CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"] | |