Update Dockerfile

Dockerfile

@@ -1,26 +1,33 @@
-# Use the official Python image as the base image
-FROM python:3.9
+# 🏗️ Stage 1: Build dependencies in a lightweight Python image
+FROM python:3.9-slim AS builder
 
-# Set the working directory
 WORKDIR /app
+COPY requirements.txt . 
 
-# Copy the requirements file into the container
-COPY requirements.txt .
-
-# Install the dependencies
 RUN pip install --no-cache-dir -r requirements.txt
 
-# Create a writable cache directory for Hugging Face models
-RUN mkdir -p /app/cache && chmod -R 777 /app/cache
+# 🚀 Stage 2: Final optimized production image
+FROM python:3.9-slim
+
+WORKDIR /app
 
-# Set Hugging Face cache directory to the new writable location
+# Copy dependencies from builder stage
+COPY --from=builder /usr/local/lib/python3.9/site-packages /usr/local/lib/python3.9/site-packages
+COPY --from=builder /usr/local/bin /usr/local/bin
+
+# Set up a persistent cache for Hugging Face models
+RUN mkdir -p /app/cache && chmod -R 777 /app/cache
 ENV TRANSFORMERS_CACHE=/app/cache
+ENV HF_HOME=/app/cache
 
-# Copy the rest of the application code into the container
+# Copy application code
 COPY . .
 
-# Expose the port the app runs on
+# Preload the model (avoid startup delays)
+RUN python -c "from transformers import pipeline; pipeline('translation', model='facebook/m2m100_418M')"
+
+# Expose port
 EXPOSE 7860
 
-# Command to run the application
-CMD ["python", "main.py"]
+# Start the FastAPI server using Uvicorn
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860", "--workers", "2", "--timeout-keep-alive", "5"]