Update Dockerfile

Dockerfile

@@ -1,25 +1,31 @@
-# Use lightweight Python
+# Use lightweight Python base image
 FROM python:3.10-slim
 
 # Set working directory
 WORKDIR /app
 
-# Install system dependencies (for torch)
-RUN apt-get update && apt-get install -y git
+# Install system dependencies (for PyTorch and git, sometimes needed)
+RUN apt-get update && apt-get install -y git && rm -rf /var/lib/apt/lists/*
 
 # Copy requirements and install
 COPY requirements.txt .
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Copy app code
+# Copy application code
 COPY . .
 
+# ✅ Hugging Face cache directory (writable in Spaces)
+ENV HF_HOME=/app/cache
+RUN mkdir -p /app/cache
+
+# Pre-download model so container starts faster
+RUN python -c "from transformers import AutoTokenizer, AutoModelForCausalLM; \
+    model_id='rabiyulfahim/qa_python_gpt2'; \
+    AutoTokenizer.from_pretrained(model_id, cache_dir='/app/cache'); \
+    AutoModelForCausalLM.from_pretrained(model_id, cache_dir='/app/cache')"
+
 # Expose FastAPI port
 EXPOSE 8000
 
-# Before CMD, add this:
-ENV TRANSFORMERS_CACHE=/app/cache
-RUN mkdir -p /app/cache
-
-# Run API with uvicorn
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"]
+# Run FastAPI with Uvicorn
+CMD [\"uvicorn\", \"app:app\", \"--host\", \"0.0.0.0\", \"--port\", \"8000\"]