slide-stream 1.1.7

An AI-powered tool to automatically create video presentations from Markdown and PowerPoint files

Slide Stream

🎬 An AI-powered tool to automatically create video presentations from Markdown and PowerPoint files.

Transform your Markdown documents and PowerPoint presentations into professional video presentations with AI-powered content enhancement, automatic image sourcing, and natural text-to-speech narration.

✨ Features

• 📝 Markdown to Video: Convert Markdown files into professional video presentations
• 📊 PowerPoint to Video: Import .pptx files with slide content and speaker notes
• 🤖 AI Enhancement: Improve content using OpenAI, Gemini, Claude, Groq, or Ollama
• 📋 Speaker Notes Support: Use PowerPoint speaker notes for enhanced AI narration
• 🖼️ Smart Images: Automatic image sourcing from Unsplash or generate text-based slides
• 🎙️ Text-to-Speech: Natural narration using Google Text-to-Speech
• 🎨 Customizable: Professional video output with configurable settings
• ⚡ Modern CLI: Built with Typer and Rich for excellent user experience

🚀 Quick Start

Installation

pip install slide-stream

Basic Usage

Create a simple Markdown file:

# Welcome to My Presentation

- This is the first point
- Here's another important point
- And a final thought

# Second Slide

- More content here
- Additional information
- Conclusion

Generate your video:

slide-stream create -i presentation.md -o my-video.mp4

🔧 Installation Options

Core Installation

pip install slide-stream

With AI Providers

# For OpenAI GPT models
pip install slide-stream[openai]

# For Google Gemini
pip install slide-stream[gemini]

# For Anthropic Claude
pip install slide-stream[claude]

# For Groq (fast inference)
pip install slide-stream[groq]

# For all AI providers
pip install slide-stream[all-ai]

🎯 Usage Examples

Basic video creation

# From Markdown
slide-stream create -i slides.md -o presentation.mp4

# From PowerPoint
slide-stream create -i presentation.pptx -o video.mp4

With AI enhancement

# Set your API key
export OPENAI_API_KEY="your-api-key-here"

# Create enhanced video with default model
slide-stream create \
  -i slides.md \
  -o presentation.mp4 \
  --llm-provider openai \
  --image-source unsplash

# Specify a custom model
slide-stream create \
  -i slides.md \
  -o presentation.mp4 \
  --llm-provider openai \
  --llm-model gpt-4o \
  --image-source unsplash

PowerPoint with speaker notes enhancement

# PowerPoint files with speaker notes get enhanced AI narration
export OPENAI_API_KEY="your-api-key"
slide-stream create \
  -i presentation.pptx \
  -o enhanced-video.mp4 \
  --llm-provider openai \
  --image-source unsplash

Text-only slides (no internet required)

slide-stream create \
  -i slides.md \
  -o presentation.mp4 \
  --image-source text

🔑 Environment Variables

Set these environment variables for AI providers:

# OpenAI
export OPENAI_API_KEY="your-openai-key"
export OPENAI_MODEL="gpt-4o-mini"  # Optional: default model

# Google Gemini
export GEMINI_API_KEY="your-gemini-key"
export GEMINI_MODEL="gemini-1.5-flash"  # Optional: default model

# Anthropic Claude
export ANTHROPIC_API_KEY="your-claude-key"
export CLAUDE_MODEL="claude-3-5-sonnet-20241022"  # Optional: default model

# Groq
export GROQ_API_KEY="your-groq-key"
export GROQ_MODEL="llama-3.1-8b-instant"  # Optional: default model

# Ollama (local)
export OLLAMA_BASE_URL="http://localhost:11434"
export OLLAMA_MODEL="llama3.2"  # Optional: default model

📋 Requirements

• Python 3.10+
• FFmpeg (for video processing)
• Internet connection (for Unsplash images and AI providers)

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

Documentation

• docs/USER_GUIDE.md - Comprehensive user guide with examples and workflows
• docs/DEVELOPMENT_WORKFLOW.md - Development setup, testing, and release process
• docs/TYPE_SAFETY.md - Type safety documentation and workarounds
• docs/TYPING_IMPROVEMENTS.md - Type improvement roadmap

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• Built with Typer for the CLI
• Rich for beautiful terminal output
• MoviePy for video processing
• Pillow for image handling