Create Dockerfile

Dockerfile

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+# Use an official Python runtime as a parent image
+FROM python:3.9-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Create a non-root user
+RUN useradd -m -u 1000 appuser
+
+# Copy requirements first to leverage Docker cache
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Create necessary directories and set permissions
+RUN mkdir -p /app/saved_models /app/tokenizer /app/predictions /app/.cache \
+    && chown -R appuser:appuser /app
+
+# Switch to non-root user
+USER appuser
+
+# Copy the application code
+COPY --chown=appuser:appuser . .
+
+# ✅ Pre-download the RoBERTa tokenizer (for offline or cached inference)
+RUN python -c "from transformers import RobertaTokenizer; RobertaTokenizer.from_pretrained('roberta-base', cache_dir='/app/.cache')"
+
+# Expose the port the app runs on (7860 for Hugging Face Spaces)
+EXPOSE 7860
+
+# Command to run the FastAPI app
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]