Deploy Docker-based Streamlit app

Dockerfile

@@ -1,30 +1,57 @@
 # Docker runtime for HF Space
-# Use a slim Python base
-FROM python:3.11-slim
+# # Use a slim Python base
+# FROM python:3.11-slim
+
+# # Basic hygiene
+# ENV PIP_NO_CACHE_DIR=1 #     PYTHONDONTWRITEBYTECODE=1 #     PYTHONUNBUFFERED=1
+
+# # Working directory
+# WORKDIR /app
+
+# # Copy and install Python deps first
+# RUN pip install scikit-learn==1.5.0
+# COPY requirements.txt /app/
+
+# # Install packages without dependencies to avoid conflicts
+# RUN pip install --upgrade pip && #     pip install --no-deps -r requirements.txt && #     pip install streamlit==1.39.0 pandas==2.2.2 numpy==1.26.4 scikit-learn==1.4.2 scipy==1.11.4 joblib==1.4.2 huggingface_hub==0.25.1
+
+# # Copy app code
+# COPY streamlit_app.py /app/
+# COPY README.md /app/
 
-# Basic hygiene
-ENV PIP_NO_CACHE_DIR=1     PYTHONDONTWRITEBYTECODE=1     PYTHONUNBUFFERED=1
+# # Hugging Face caches
+# ENV HF_HOME=/tmp/huggingface
+# RUN mkdir -p /tmp/huggingface/hub
+
+# # Expose port
+# EXPOSE 7860
+
+# # Run Streamlit
+# CMD ["streamlit", "run", "streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0"]
+
+FROM python:3.11-slim
 
-# Working directory
 WORKDIR /app
 
-# Copy and install Python deps first
-RUN pip install scikit-learn==1.5.0
-COPY requirements.txt /app/
+# Install system dependencies
+RUN apt-get update && apt-get install -y     gcc     g++     && rm -rf /var/lib/apt/lists/*
 
-# Install packages without dependencies to avoid conflicts
-RUN pip install --upgrade pip &&     pip install --no-deps -r requirements.txt &&     pip install streamlit==1.39.0 pandas==2.2.2 numpy==1.26.4 scikit-learn==1.4.2 scipy==1.11.4 joblib==1.4.2 huggingface_hub==0.25.1
+# Copy requirements
+COPY requirements.txt .
 
-# Copy app code
-COPY streamlit_app.py /app/
-COPY README.md /app/
+# Install Python packages with specific versions
+RUN pip install --upgrade pip
+RUN pip install streamlit==1.39.0
+RUN pip install pandas==2.2.2
+RUN pip install numpy==1.26.4
+RUN pip install scikit-learn==1.5.0
+RUN pip install scipy==1.14.0
+RUN pip install joblib==1.4.2
+RUN pip install huggingface_hub==0.25.1
 
-# Hugging Face caches
-ENV HF_HOME=/tmp/huggingface
-RUN mkdir -p /tmp/huggingface/hub
+# Copy app
+COPY streamlit_app.py .
 
-# Expose port
 EXPOSE 7860
 
-# Run Streamlit
 CMD ["streamlit", "run", "streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0"]