Improved setup for hf spaces

.spacesignore

@@ -0,0 +1,29 @@
+# HuggingFace Spaces ignore file - exclude unnecessary files
+# Development files
+tests/
+scripts/
+pytest.ini
+pytest-e2e.ini
+playwright.config.py
+packages.txt
+runtime.txt
+dd_poc.egg-info/
+
+# Local development
+.venv/
+.env
+.env.*
+.logs/
+.pytest_cache/
+.DS_Store
+.claude/
+
+# Git and build artifacts  
+.git/
+__pycache__/
+*.pyc
+*.pyo
+*.log
+
+# Keep only essential streamlit config
+.streamlit/secrets.toml

Dockerfile

@@ -1,10 +1,9 @@
-# Use Python 3.13 base image
+# HuggingFace Spaces Optimized Dockerfile
 FROM python:3.13-slim
 
-# Copy uv from the official image (much more efficient than installing)
+# Copy UV from official image
 COPY --from=ghcr.io/astral-sh/uv:latest /uv /uvx /bin/
 
-# Set working directory
 WORKDIR /app
 
 # Install system dependencies
@@ -16,29 +15,35 @@ RUN apt-get update && apt-get install -y \
 # Initialize Git LFS
 RUN git lfs install
 
-# Copy pyproject.toml and uv.lock for better caching
-COPY pyproject.toml uv.lock* ./
+# Copy Spaces-specific project file
+COPY pyproject.spaces.toml ./pyproject.toml
 
-# Install Python dependencies using uv
-RUN uv sync --frozen --no-dev
+# Generate requirements.txt and install (avoid package building)
+RUN uv export --no-dev --no-hashes > requirements.txt && \
+    uv pip install -r requirements.txt
 
-# Copy the entire application
-COPY . .
+# Copy essential application files only
+COPY app/ ./app/
+COPY models/ ./models/
+COPY data/ ./data/
+COPY .cache/ ./.cache/
+COPY .streamlit/config.toml ./.streamlit/config.toml
+COPY checklist_scoring_analysis.json ./
+COPY .gitattributes ./
+COPY app.py ./
 
-# Download and cache models on build (optional - can be done at runtime too)
-# RUN uv run python -c "from app.core.model_cache import get_cached_embeddings, get_cached_cross_encoder; get_cached_embeddings(); get_cached_cross_encoder()"
-
-# Expose the port Streamlit runs on (HuggingFace Spaces standard)
-EXPOSE 8501
-
-# Set environment variables for better performance
-ENV TOKENIZERS_PARALLELISM=true
+# HuggingFace Spaces environment variables
 ENV STREAMLIT_SERVER_HEADLESS=true
 ENV STREAMLIT_SERVER_PORT=8501
 ENV STREAMLIT_SERVER_ADDRESS=0.0.0.0
-
-# Disable uv cache for runtime to avoid permission issues
+ENV TOKENIZERS_PARALLELISM=true
 ENV UV_NO_CACHE=1
 
-# Run the Streamlit app using uv (HuggingFace Spaces format)
+# Spaces-specific optimizations
+ENV PYTHONUNBUFFERED=1
+ENV PYTHONDONTWRITEBYTECODE=1
+
+EXPOSE 8501
+
+# Use UV for optimal performance
 CMD ["uv", "run", "streamlit", "run", "app.py", "--server.port=8501", "--server.address=0.0.0.0"]

pyproject.toml

@@ -1,25 +1,21 @@
 [project]
-name = "dd-poc"
+name = "dd-poc-spaces"
 version = "0.1.0"
-description = "AI-powered document analysis with citations"
+description = "AI Due Diligence - HuggingFace Spaces Production"
 requires-python = ">=3.13"
 dependencies = [
-    # Core dependencies - pinned for deployment
+    # Core dependencies - production only
     "streamlit==1.49.1",
     "sentence-transformers==5.1.0",
     "numpy==2.3.2",
-    # Document processing - pinned for deployment
+    # Document processing
     "pymupdf==1.24.14",
-    # Environment and configuration - pinned for deployment
+    # Configuration
     "python-dotenv==1.1.1",
     "pydantic-settings>=2.10.1,<3.0.0",
-    # Vector store - optimized CPU version
+    # Vector store - CPU optimized for Spaces
     "faiss-cpu==1.12.0",
-    # CPU optimization libraries
-    "accelerate",
-    "optuna", # For hyperparameter optimization
-    "memory-profiler", # For detailed memory profiling
-    # AI Enhancement - LangChain packages pinned for deployment
+    # AI Enhancement - LangChain
     "langchain-anthropic==0.3.19",
     "langgraph==0.6.6",
     "langchain-core==0.3.75",
@@ -28,11 +24,10 @@ dependencies = [
     "langchain-huggingface==0.3.1",
     "tqdm>=4.67.1",
     "pydantic>=2.11.7",
-    "pytest>=8.4.2",
     "huggingface-hub>=0.20.0",
     "pypdf>=6.0.0",
     "watchdog>=6.0.0",
-    # Performance optimization libraries
+    # Performance optimization
     "diskcache>=5.6.0",
     "joblib>=1.4.0",
     "httpx>=0.25.0",
@@ -51,33 +46,4 @@ dependencies = [
     "yake>=0.6.0",
 ]
 
-[build-system]
-requires = ["setuptools", "wheel"]
-build-backend = "setuptools.build_meta"
-
-[dependency-groups]
-dev = [
-    "autoflake>=2.3.1",
-    "flake8>=7.3.0",
-    # Testing dependencies
-    "playwright>=1.55.0",
-    "pytest>=7.4.0",
-    "pytest-asyncio>=0.21.0",
-    "pytest-cov>=4.1.0",
-    "pytest-mock>=3.12.0",
-    "pytest-playwright>=0.7.1",
-    "pytest-xdist>=3.5.0",
-]
-
-[tool.setuptools.packages.find]
-include = ["app*", "scripts*", ""]
-
-[project.scripts]
-download-models = "scripts.download_models:main"
-verify-test-coverage = "scripts.verify_test_coverage:main"
-build-indexes = "scripts.build_indexes:main"
-build-graphs = "scripts.build_knowledge_graphs:main"
-build = "scripts.build:main"
-start = "scripts.start:main"
-e2e-test = "scripts.run_e2e_tests:main"
-
+# No build system needed for Spaces - dependencies only

uv.lock

@@ -2,24 +2,6 @@ version = 1
 revision = 3
 requires-python = ">=3.13"
 
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