Update Dockerfile

Dockerfile

@@ -1,45 +1,42 @@
 FROM python:3.10-slim
 
-# Set environment variables
 ENV PYTHONDONTWRITEBYTECODE=1
 ENV PYTHONUNBUFFERED=1
 ENV HF_HOME=/app/hf_cache
 ENV NLTK_DATA=/app/nltk_data
 ENV PORT=8080
 
-# Set working directory
 WORKDIR /app
 
-# Install system dependencies
 RUN apt-get update && apt-get install -y \
     gcc \
     python3-dev \
     curl \
     && rm -rf /var/lib/apt/lists/*
 
-# Create non-root user before creating directories to set ownership properly
 RUN adduser --disabled-password --gecos '' appuser
 
-# Create necessary directories with correct ownership and permissions
+COPY requirements.txt .
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Download NLTK punkt data with correct dir
+RUN python -c "import nltk; nltk.download('punkt', download_dir='/app/nltk_data')"
+
+# Copy app code and then set ownership & permissions
+COPY . .
+
 RUN mkdir -p /app/hf_cache /app/nltk_data && \
     chown -R appuser:appuser /app/hf_cache /app/nltk_data /app && \
     chmod -R 777 /app/hf_cache /app/nltk_data
 
-# Copy requirements and install Python dependencies
-COPY requirements.txt .
+USER appuser
 
-RUN pip install --no-cache-dir -r requirements.txt && \
-    python -c "import nltk; nltk.download('punkt', download_dir='/app/nltk_data')" && \
-    python -c "from transformers import AutoTokenizer, AutoModelForSequenceClassification; \
+# Preload huggingface model cache at runtime (optional)
+RUN python -c "from transformers import AutoTokenizer, AutoModelForSequenceClassification; \
                AutoTokenizer.from_pretrained('priyabrat/AI.or.Human.text.classification', cache_dir='/app/hf_cache'); \
                AutoModelForSequenceClassification.from_pretrained('priyabrat/AI.or.Human.text.classification', cache_dir='/app/hf_cache')"
 
-# Copy application code
-COPY . .
-
-# Switch to non-root user
-USER appuser
-
-# Expose port and define default command
 EXPOSE 8080
-CMD ["gunicorn", "app:app"]
+
+CMD ["gunicorn", "app:app"]