Dockerfile

# Use Python base image
FROM python:3.9

# Set working directory
WORKDIR /app

# Copy files
COPY requirements.txt .  
COPY main.py .  

# Install dependencies
RUN pip install --no-cache-dir -r requirements.txt  

# Set cache directory (Use HF_HOME instead of TRANSFORMERS_CACHE)
ENV HF_HOME="/tmp/huggingface"

# Ensure the directory exists
RUN mkdir -p $HF_HOME

# Pre-download the correct models (Multilingual + English sentiment analysis)
RUN python -c "from transformers import pipeline; pipeline('sentiment-analysis', model='tabularisai/multilingual-sentiment-analysis')"
RUN python -c "from transformers import pipeline; pipeline('sentiment-analysis', model='siebert/sentiment-roberta-large-english')"

# Expose port for FastAPI
EXPOSE 7860

# Run FastAPI server
CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]