bielik 0.1.7

Bielik — local chat client (CLI + web) with HuggingFace Integration

🦅 Bielik

Author: Tom Sapletta
License: Apache-2.0

🇵🇱 Bielik is a powerful Polish AI Assistant that downloads and runs Polish language models from HuggingFace, created specifically for the Bielik models from Speakleash.

🚀 Key Features:

• 🎯 HuggingFace Integration - Direct model downloads from HF Hub
• 💬 Polish Language Optimized - Built for Polish conversation and analysis
• 🖼️ Vision Capabilities - Image analysis and visual question answering
• 📁 Document Processing - PDF, DOCX, web content analysis
• 🐳 Docker Ready - Containerized testing environments
• ⚡ Lightweight - Minimal (~50MB) or Full (~2GB) installation options

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🏗️ Architecture

┌─────────────────────────────────────────────────────────────────┐
│                       🦅 BIELIK SYSTEM                          │
├─────────────────────┬───────────────────────┬───────────────────┤
│   🖥️  CLI Shell     │  🌐 FastAPI Server   │  🐳 Docker Tests   │
│  ┌─────────────────┐│ ┌───────────────────┐ │ ┌───────────────┐ │
│  │ • Interactive   ││ │ • REST /chat      │ │ │ • Minimal     │ │
│  │ • Personalized  ││ │ • WebSocket /ws   │ │ │ • Full        │ │
│  │ • Multi-modal   ││ │ • Port 8000       │ │ │ • CI/CD       │ │
│  └─────────────────┘│ └───────────────────┘ │ └───────────────┘ │
└─────────────────────┴───────────────────────┴───────────────────┘
            │                       │                       │
            ▼                       ▼                       ▼
┌───────────────────────────────────────────────────────────────┐
│                🤗 HUGGINGFACE INTEGRATION                     │
│  ┌──────────────────────┐    ┌─────────────────────────────┐  │
│  │   Direct Downloads   │◄──►│     Local Model Execution   │  │
│  │ ┌─ HF Hub API        │    │ ┌─ Transformers Pipeline    │  │
│  │ └─ Model Management  │    │ └─ Vision Models (optional) │  │
│  └──────────────────────┘    └─────────────────────────────┘  │
└─────────────────────┬─────────────────────────────────────────┘
                      ▼
┌───────────────────────────────────────────────────────────────┐
│                 📚 POLISH LANGUAGE MODELS                     │
│  ┌─────────────────────────────────────────────────────────┐  │
│  │ 🤖 Speakleash/Bielik Models (HuggingFace Hub)           │  │
│  │ 🔗 Direct: HuggingFace → Local Storage → Execution      │  │
│  │ 🎯 Polish-optimized conversation and analysis           │  │
│  └─────────────────────────────────────────────────────────┘  │
└───────────────────────────────────────────────────────────────┘

🤖 About Bielik Model

Bielik is a groundbreaking Polish language model created by Speakleash - a foundation dedicated to the development of Polish artificial intelligence.

🔗 External Dependencies & Links:

• HuggingFace Hub - Primary source for Polish language models
• Bielik Models on HuggingFace - Official model repository
• Speakleash Foundation - Creators of the Bielik models
• Polish AI Initiative - Government support for Polish AI

🚀 How it Works:

1. Bielik CLI connects directly to HuggingFace Hub
2. Models are downloaded from Speakleash organization on HuggingFace
3. Local execution uses Transformers library (optional for vision)
4. Chat interface (CLI/Web) → Local Models → Polish responses
5. Modular design supports text-only or full vision capabilities

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📌 Features

• 🎯 HuggingFace Integration — Direct model downloads and management
  • 🔍 Model Discovery — Browse available Polish language models
  • 📦 Smart Downloads — Automatic model caching and versioning
  • 🚀 Auto-Switch — Automatically switches to newly downloaded models
  • 🛠️ Interactive — User-friendly model selection on first startup
• 🖥️ Enhanced CLI python -m bielik — Personalized chat experience
  • 📋 Commands — :help, :models, :download, :delete, :switch, :settings, :name
  • ⚙️ Personalization — Custom user names, dynamic assistant names
  • 🤗 HF Management — Direct HuggingFace model operations
  • 📁 Content Analysis — Folder scanning, document processing
  • 🌍 Cross-platform — Windows, macOS, Linux support
• 🖼️ Vision Capabilities (Full version only)
  • 🔍 Image Analysis — Automatic image captioning in Polish
  • ❓ Visual QA — Ask questions about images
  • 🎨 Multi-modal — Combined text and image understanding
  • ⚡ GPU Support — Hardware acceleration for faster processing
• 🐍 Python API — Programmatic access via BielikClient class
  • 💬 Chat methods — chat(), query(), conversation management
  • 🔧 Model control — Download, switch, and manage models
  • 🤗 HF Models — Full HuggingFace integration
  • 📤 Export — Conversation history in multiple formats
• 🌐 Web Server (FastAPI on port 8000):
  • 📡 REST — POST /chat endpoint for JSON communication
  • ⚡ WebSocket — WS /ws for real-time chat
  • 🖼️ Multi-modal — Support for text and image inputs
• 🐳 Docker Support — Complete containerized testing
  • 📦 Minimal Version — Lightweight text-only container (~50MB)
  • 🎯 Full Version — Complete vision-enabled container (~2GB)
  • 🔧 CI/CD — Automated testing environments

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⚙️ Installation Options

Bielik offers two installation modes to suit different needs:

🪶 Minimal Version (Recommended for most users)

~50MB installation - Perfect for text-based Polish AI conversations:

# Install minimal version (text-only)
pip install bielik

# Start CLI and download your first model
python -m bielik

What's included:

• ✅ Polish conversation and text analysis
• ✅ HuggingFace model downloads and management
• ✅ Document processing (PDF, DOCX, TXT)
• ✅ Web content analysis
• ✅ Folder structure analysis
• ✅ Personalized CLI experience
• ❌ Image analysis (can be added later)

🎯 Full Version (For image analysis)

~2GB+ installation - Complete AI assistant with vision capabilities:

# Install full version (text + vision)
pip install bielik[vision]

# Start CLI with image analysis support
python -m bielik

What's included:

• ✅ Everything from minimal version
• ✅ Image analysis and captioning
• ✅ Visual question answering
• ✅ GPU acceleration support
• ✅ Multi-modal document processing

🔄 Upgrade Anytime

Start minimal and upgrade when needed:

# Upgrade minimal → full
pip install bielik[vision]

# Or install specific optional features
pip install bielik[local]    # Local model execution
pip install bielik[gpu]      # GPU acceleration
pip install bielik[dev]      # Development tools

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🚀 Quick Start Guide

🎯 Instant Start (No setup required!)

Bielik now works without any external dependencies. Just install and start chatting:

# Install minimal version
pip install bielik

# Start CLI and choose your first model
python -m bielik

What happens on first run:

• 🔍 Model Selection — Choose from available Polish models
• 📥 Auto Download — Selected model downloads from HuggingFace
• 🔄 Auto Switch — Automatically switches to the new model
• 💬 Ready to Chat — Start conversing in Polish immediately!

📱 Choose Your Experience

🪶 Minimal Setup (Recommended)

Perfect for text conversations and document analysis:

# 1. Install
pip install bielik

# 2. Start and download your first model
python -m bielik
:download speakleash/bielik-4.5b-v3.0-instruct

# 3. Start chatting in Polish!
Cześć! Jak mogę Ci pomóc?

🎯 Full Setup (For image analysis)

Includes vision capabilities for image analysis:

# 1. Install with vision support
pip install bielik[vision]

# 2. Start and download models
python -m bielik
:download speakleash/bielik-4.5b-v3.0-instruct

# 3. Analyze images
Przeanalizuj to zdjęcie: image.jpg

🐳 Docker Setup (For testing)

Use Docker for isolated testing environments:

# Clone repository
git clone https://github.com/tom-sapletta-com/bielik.git
cd bielik

# Test minimal version
docker-compose --profile minimal up bielik-minimal

# Test full version  
docker-compose --profile full up bielik-full

---

💻 Usage

🖥️ CLI Commands & Options

Starting Bielik

# Basic usage
python -m bielik                         # Start interactive chat
bielik                                   # Alternative (if in PATH)

# Advanced options  
python -m bielik --help                  # Show all options

Interactive Commands (inside chat session)

📋 Model Management:

:models                    # List available HuggingFace models
:download <model-name>     # Download model from HuggingFace
:switch <model-name>       # Switch to downloaded model
:delete <model-name>       # Delete model from local storage

⚙️ Personalization:

:name <your-name>          # Set your display name
:settings                  # Show current configuration

🛠️ Utilities:

:help                      # Show all commands
:clear                     # Clear conversation history
:exit                      # Quit (or Ctrl+C)

Usage Examples

First Time Setup:

$ python -m bielik
# Choose from recommended models:
# 1. speakleash/bielik-4.5b-v3.0-instruct (Recommended)
# 2. speakleash/bielik-7b-instruct-v0.1
# Enter choice: 1

🔄 Downloading speakleash/bielik-4.5b-v3.0-instruct...
✅ Model ready! Switching to bielik-4.5b-v3.0-instruct

👤 You: Cześć! Jak się masz?
🤖 bielik-4.5b: Cześć! Mam się dobrze, dziękuję...

Everyday Usage:

👤 You: :name Jan
✅ Display name set to: Jan

👤 Jan: Przeanalizuj folder ~/dokumenty
🤖 bielik-4.5b: [Analyzes folder structure and contents]

👤 Jan: Opisz to zdjęcie: vacation.jpg  # (Full version only)
🤖 bielik-4.5b: [Describes image in Polish]

🐍 Python API

Use Bielik programmatically in your Python applications:

from bielik.client import BielikClient

# Create client (auto-downloads model if needed)
client = BielikClient()

# Send a Polish message
response = client.chat("Napisz krótki wiersz o Polsce")
print(response)

# Get model status
status = client.get_status()
print(f"Current model: {status['current_model']}")
print(f"Models available: {status['models_available']}")

# Export conversation
history = client.export_conversation(format="markdown")

Quick functions:

from bielik.client import quick_chat

# One-off Polish query
response = quick_chat("Co to jest sztuczna inteligencja?")
print(response)

BielikClient Options:

• model: Specific HuggingFace model to use
• auto_download: Auto-download model if missing (default: True)

🌐 Web Server

# Start web server
uvicorn bielik.server:app --port 8000

# Or with Docker
docker-compose --profile minimal up bielik-minimal

Endpoints:

• POST /chat - JSON chat endpoint
• WS /ws - WebSocket real-time chat
• GET /models - List available models

Example request:

{"messages": [{"role":"user","content":"Cześć! Jak się masz?"}]}

🐳 Docker Usage

Quick Testing:

# Test minimal version
docker run -it bielik:minimal

# Test full version with GPU
docker run --gpus all -it bielik:full

With persistent storage:

# Minimal with model persistence
docker run -it -v $(pwd)/models:/app/models bielik:minimal

# Full with models and images
docker run -it \
  -v $(pwd)/models:/app/models \
  -v $(pwd)/images:/app/images \
  bielik:full

Development setup:

# Clone and test
git clone https://github.com/tom-sapletta-com/bielik.git
cd bielik

# Run automated tests
docker-compose --profile test up test-runner

# Interactive development
docker-compose --profile minimal run --rm bielik-minimal bash

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🔧 Environment Variables

Core Settings:

• BIELIK_CLI_USERNAME — Your display name in CLI (auto-detected from system)
• BIELIK_CLI_CURRENT_MODEL — Currently selected model
• BIELIK_CLI_ASSISTANT_NAME — Assistant display name (auto-set from model)
• BIELIK_CLI_AUTO_SWITCH — Auto-switch to newly downloaded models (default: true)

Storage & Cache:

• BIELIK_MODELS_DIR — Local model storage directory
• BIELIK_DATA_DIR — User data and settings directory
• HF_HOME — HuggingFace cache directory

Docker Environment:

• BIELIK_MODE — minimal or full (Docker only)
• BIELIK_IMAGES_DIR — Images directory for analysis (full version)

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🛠️ Troubleshooting

Installation Issues

Problem: Minimal version works but vision features don't

# Upgrade to full version
pip install bielik[vision]

# Verify vision packages
python -c "import PIL, transformers; print('Vision packages OK')"

Problem: Model download fails or times out

# Check HuggingFace connectivity
python -c "from huggingface_hub import HfApi; print('HF connection OK')"

# Check available disk space (models are 2-8GB)
df -h

# Manual download with timeout
:download speakleash/bielik-4.5b-v3.0-instruct

Problem: "No models available" on first startup

# Download a model manually
python -m bielik
:models
:download speakleash/bielik-4.5b-v3.0-instruct

Runtime Issues

Problem: Model responses are slow or use too much memory

# Use smaller model
:switch speakleash/bielik-4.5b-v3.0-instruct  # instead of 7b

# Check system resources
htop      # Linux/macOS
taskmgr   # Windows

# Enable GPU acceleration (full version)
pip install bielik[gpu]

Problem: Image analysis not working

# Check if vision packages installed
python -c "from bielik.image_analyzer import ImageAnalyzer; ia = ImageAnalyzer(); print(f'Available: {ia.is_available()}')"

# Install vision support
pip install bielik[vision]

Problem: CLI settings not persisting

# Check .env file creation
ls -la ~/.bielik/ || ls -la ./

# Reset settings
:name YourName
:settings

Docker Issues

Problem: Docker containers fail to start

# Build images manually
docker build -f docker/Dockerfile.minimal -t bielik:minimal .
docker build -f docker/Dockerfile.full -t bielik:full .

# Check container logs
docker logs bielik-minimal

Problem: Models not persisting between Docker runs

# Use volume mounts
docker run -v $(pwd)/models:/app/models bielik:minimal

# Or use Docker Compose
docker-compose --profile minimal up

Getting Help

• GitHub Issues: Report bugs and feature requests
• Command Help: python -m bielik --help or :help in CLI
• Test Environment: Use Docker for isolated testing
• Check Status: Use :settings command for current configuration

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📝 Development

git clone https://github.com/tom-sapletta-com/bielik.git
cd bielik
python -m venv .venv
source .venv/bin/activate
pip install -e .[ollama]

📂 Package Structure

bielik/
├── bielik/
│   ├── __init__.py          # Package initialization
│   ├── cli.py               # CLI entry point (wrapper)
│   ├── client.py            # Client entry point (wrapper)
│   ├── server.py            # FastAPI web server
│   ├── config.py            # Configuration management
│   ├── hf_models.py         # Hugging Face model management
│   ├── content_processor.py # Content processing utilities
│   ├── cli/                 # Modular CLI components
│   │   ├── __init__.py
│   │   ├── main.py          # Main CLI entry and argument parsing
│   │   ├── commands.py      # Command processing and execution
│   │   ├── models.py        # HF model management CLI
│   │   ├── setup.py         # Interactive setup manager
│   │   └── send_chat.py     # Chat communication handling
│   └── client/              # Modular client components
│       ├── __init__.py      # Client package exports
│       ├── core.py          # Core BielikClient class
│       ├── model_manager.py # HF model operations for client
│       └── utils.py         # Client utility functions
├── tests/
│   ├── __init__.py
│   ├── test_cli.py          # CLI unit tests
│   └── test_server.py       # Server unit tests
├── pyproject.toml           # Modern Python packaging
├── setup.cfg                # Package configuration
├── MANIFEST.in              # Package manifest
├── LICENSE                  # Apache 2.0 license
├── README.md                # This documentation
├── Makefile                 # Development automation
├── todo.md                  # Project specifications
└── .github/workflows/       # CI/CD automation
    └── python-publish.yml

📜 License

Apache License 2.0