Dockerfile

FROM python:3.11-slim

# Set working directory
WORKDIR /app

# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    && rm -rf /var/lib/apt/lists/*

# Copy requirements first (Docker layer caching)
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt

# Pre-download sentence-transformer models during build
# This avoids slow cold-start downloads at runtime
RUN python -c "\
from sentence_transformers import SentenceTransformer, CrossEncoder; \
from transformers import AutoTokenizer, AutoModelForSequenceClassification; \
SentenceTransformer('all-MiniLM-L6-v2'); \
CrossEncoder('cross-encoder/ms-marco-MiniLM-L-6-v2'); \
model_name = 'cardiffnlp/twitter-roberta-base-sentiment-latest'; \
AutoTokenizer.from_pretrained(model_name); \
AutoModelForSequenceClassification.from_pretrained(model_name); \
import google.oauth2.id_token; \
import google.auth.transport.requests; \
import googleapiclient.discovery"

# Copy application code
COPY . .

# Create data directories
RUN mkdir -p data/chromadb

# Default port (HF Spaces sets PORT=7860, local default is 8000)
ENV PORT=7860

# Expose port
EXPOSE ${PORT}

# Start uvicorn with configurable port
CMD uvicorn app.main:app --host 0.0.0.0 --port ${PORT}