Create Dockerfile

Dockerfile

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+# Use a lightweight, standard Python image (Debian-based)
+FROM python:3.10-slim
+
+# Set working directory
+WORKDIR /app
+
+# Install system dependencies (required for some Python tools)
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    && rm -rf /var/lib/apt/lists/*
+
+# 1. Install the Pre-built AI Engine (Skips the compilation step that was failing)
+# We use the 'cpu' specific URL to get the binary directly.
+RUN pip install --no-cache-dir \
+    llama-cpp-python \
+    --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu
+
+# 2. Install Web Server tools
+RUN pip install --no-cache-dir fastapi uvicorn huggingface_hub pydantic
+
+# Copy your app code
+COPY app.py .
+
+# Grant permissions (just in case)
+RUN chmod +x app.py
+
+# Expose the API port
+EXPOSE 7860
+
+# Start the server
+CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]