Deploy Docker-based Streamlit app

Dockerfile

@@ -8,32 +8,22 @@ ENV PIP_NO_CACHE_DIR=1     PYTHONDONTWRITEBYTECODE=1     PYTHONUNBUFFERED=1
 # Working directory
 WORKDIR /app
 
-# System deps (optional but useful)
-#RUN apt-get update && apt-get install -y --no-install-recommends     curl ca-certificates && rm -rf /var/lib/apt/lists/*
-
-# Copy and install Python deps first (better layer caching)
-#COPY requirements.txt .
+# Copy and install Python deps first
 COPY requirements.txt /app/
-#RUN pip install -U pip && pip install --no-cache-dir -r requirements.txt
-RUN pip install --upgrade pip && pip install -r requirements.txt
+
+# 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 .
-# Copy only what you need for the app
 COPY streamlit_app.py /app/
 COPY README.md /app/
 
-# Hugging Face caches (writable on Spaces)
-#ENV HF_HOME=/tmp/huggingface     HF_HUB_CACHE=/tmp/huggingface/hub
-
-# Streamlit defaults for Docker
-#ENV STREAMLIT_BROWSER_GATHERUSAGESTATS=false
-
-# (Optional) if you keep static assets, copy them here too
-# COPY assets/ /app/assets/
+# Hugging Face caches
+ENV HF_HOME=/tmp/huggingface
+RUN mkdir -p /tmp/huggingface/hub
 
-# Expose the port that the Space will connect to
+# Expose port
 EXPOSE 7860
 
-# Run Streamlit on 0.0.0.0:7860
+# Run Streamlit
 CMD ["streamlit", "run", "streamlit_app.py", "--server.port=7860", "--server.address=0.0.0.0"]

requirements.txt

@@ -1,7 +1,7 @@
-streamlit==1.38.0
+streamlit==1.39.0
 pandas==2.2.2
 numpy==1.26.4
-scipy==1.11.4
 scikit-learn==1.4.2
+scipy==1.11.4
 joblib==1.4.2
 huggingface_hub==0.25.1