Create old_Dockerfile

old_Dockerfile

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+# Use Python base image
+FROM python:3.10-slim
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    build-essential \
+    curl \
+    git \
+    && rm -rf /var/lib/apt/lists/*
+
+# Install MLflow and its dependencies
+RUN pip install --no-cache-dir \
+    mlflow==2.20.1 \
+    scikit-learn \
+    pandas \
+    numpy
+
+# Create data directories
+RUN mkdir -p /data/mlruns /data/mlflow-db
+
+# Set permissions for /data directory
+RUN chmod -R 777 /data
+
+# Set environment variables
+ENV MLFLOW_TRACKING_URI=file:///data/mlruns
+ENV BACKEND_STORE_URI=sqlite:///data/mlflow-db/mlflow.db
+ENV ARTIFACT_ROOT=/data/mlruns
+
+# Expose port 7860 (default port for Hugging Face Spaces)
+EXPOSE 7860
+
+# Create startup script
+RUN echo '#!/bin/bash\n\
+mkdir -p /data/mlruns /data/mlflow-db\n\
+chmod -R 777 /data\n\
+mlflow server \
+    --host 0.0.0.0 \
+    --port 7860 \
+    --backend-store-uri ${BACKEND_STORE_URI} \
+    --default-artifact-root ${ARTIFACT_ROOT}' > /start.sh \
+    && chmod +x /start.sh
+
+# Set the entrypoint
+ENTRYPOINT ["/start.sh"]