Create Dockerfile

Dockerfile

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+# Use an official Python runtime as the base image
+FROM python:3.11-slim
+
+# Set working directory in the container
+WORKDIR /app
+
+# Install system dependencies for TensorFlow and other libraries
+RUN apt-get update && apt-get install -y \
+    libhdf5-dev \
+    gcc \
+    g++ \
+    && rm -rf /var/lib/apt/lists/*
+
+# Copy requirements file
+COPY requirements.txt .
+
+# Install Python dependencies
+RUN pip install --no-cache-dir -r requirements.txt
+
+# Copy application code and model files
+COPY main.py .
+COPY model.h5 .
+COPY tokenizer.pkl .
+COPY le_category.pkl .
+COPY le_subcategory.pkl .
+COPY ppo_finetuned_model.zip .  # Optional; comment out if not using RL
+
+# Expose the port FastAPI will run on
+EXPOSE 8000
+
+# Command to run the FastAPI app with uvicorn
+CMD ["uvicorn", "app.py:app", "--host", "0.0.0.0", "--port", "8000"]