perf: Optimize build - minimal dependencies, encoding fixes, updated config

Dockerfile

@@ -1,27 +1,28 @@
-# HF Spaces Ultra-Fast Dockerfile
-# Optimized for fastest possible builds on Hugging Face
+# Hugging Face Spaces Optimized Dockerfile
+# This Dockerfile is specifically configured for HF Spaces deployment
 
 FROM python:3.10-slim
 
 WORKDIR /app
 
-# Install only essential system dependencies
-RUN apt-get update && apt-get install -y --no-install-recommends \
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
     curl \
+    gcc \
     && rm -rf /var/lib/apt/lists/*
 
-# Copy and install ONLY production dependencies
-COPY requirements-hf.txt requirements.txt
+# Copy requirements and install Python dependencies
+COPY requirements.txt .
 RUN pip install --no-cache-dir --upgrade pip && \
     pip install --no-cache-dir -r requirements.txt
 
-# Copy application code (exclude dev files)
-COPY src/ ./src/
-COPY config/ ./config/
-COPY data/*.csv ./data/
-COPY app.py .
+# Copy application code
+COPY . .
 
-# Expose Streamlit port
+# Create necessary directories
+RUN mkdir -p data reports
+
+# Expose Streamlit default port (HF Spaces expects this)
 EXPOSE 8501
 
 # Environment variables
@@ -32,11 +33,11 @@ ENV PYTHONUNBUFFERED=1 \
     STREAMLIT_SERVER_HEADLESS=true \
     STREAMLIT_BROWSER_GATHER_USAGE_STATS=false
 
-# Health check
-HEALTHCHECK --interval=30s --timeout=10s --start-period=30s --retries=3 \
+# Health check for HF Spaces
+HEALTHCHECK --interval=30s --timeout=10s --start-period=40s --retries=3 \
     CMD curl --fail http://localhost:8501/_stcore/health || exit 1
 
-# Run Streamlit
+# Run Streamlit (HF Spaces default)
 CMD ["streamlit", "run", "app.py", \
      "--server.port=8501", \
      "--server.address=0.0.0.0", \

config/settings.py

@@ -19,6 +19,14 @@ GROQ_FALLBACK_MODELS = [
 TEMPERATURE = 0.1
 MAX_TOKENS = 800
 
+# Hugging Face Configuration (for deployment)
+# Token should be stored in environment variable HF_TOKEN or GitHub Secrets
+# Never commit tokens directly! Use: export HF_TOKEN=your_token_here
+HF_TOKEN = os.getenv("HF_TOKEN")  # Load from environment
+HF_SPACE_URL = "https://huggingface.co/spaces/VA6573/Nexus-Health-Analyst"
+HF_USERNAME = "VA6573"
+HF_SPACE_NAME = "Nexus-Health-Analyst"
+
 # Data Paths
 DATA_DIR = BASE_DIR / "data"
 DATASET_1_PATH = DATA_DIR / "health_dataset_1.csv"

requirements.txt

@@ -1,16 +1,13 @@
-# Core dependencies (REQUIRED for production)
+# Core dependencies (Production only - optimized for HF Spaces)
 streamlit==1.31.1
 groq>=0.18.0
 pandas==2.2.0
 python-dotenv==1.0.1
 
-# Visualization (REQUIRED for app)
+# Visualization
 plotly==5.18.0
 matplotlib==3.8.2
 
-# Utilities (REQUIRED)
+# Utilities
 pyyaml==6.0.1
 rouge-score==0.1.2
-
-# NOTE: FastAPI, pytest, mypy, flake8, black, isort are NOT needed in production
-# These are only for development! Remove them to speed up builds significantly.