Ellipsis is a next-generation podcast generation agent that brings human-like, high-quality audio content to life on any topic with just one click. Whether it’s breaking news, deep-dive tech explainers, movie reviews, or post-match sports breakdowns, Ellipsis crafts intelligent podcast episodes that sound like they were created by seasoned hosts in a professional studio.

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Features

  • Intelligent Multi-Speaker Dialogue with multiple distinct voices and personalities
  • Comprehensive Topic Coverage from LLM architectures to lunar eclipses
  • Custom Evaluation Engine ensuring factual accuracy, legal compliance, and conversational quality
  • Fully Automated Podcast Generation with human-like, podcast-ready audio output
  • Real-time Streaming Updates via Server-Sent Events (SSE)
  • Podbean Integration for direct podcast publishing
  • Trending Topics Detection using Perplexity API

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Prerequisites

  • Node.js v16+ and npm/yarn
  • Python 3.10+ and pip
  • Redis server running (default on port 6380)
  • Perplexity API key, Podbean credentials

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Installation

# Clone the repository
git clone https://github.com/dineshkannan010/Ellipsis.git
cd Ellipsis

# Backend setup
cd backend
python -m venv venv
source venv/bin/activate    # macOS/Linux
pip install -r requirements.txt

# Install native packages
pip install llama-cpp-python --extra-index-url https://abetlen.github.io/llama-cpp-python/whl/cpu
pip install git+https://github.com/freddyaboulton/orpheus-cpp.git
pip install huggingface_hub[hf_xet] hf_xet

# Frontend setup
cd ../frontend
npm install

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Configuration

Create backend/.env: 
REDIS_URL=redis://your-redis-host:6379
PERPLEXITY_API_KEY=your_key_here
PODBEAN_CLIENT_ID=...
PODBEAN_CLIENT_SECRET=...
Create frontend/.env: 
REACT_APP_API_URL=http://your-backend-host:5000

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Usage

  1. Start Redis Server: 
    redis-server --port 6380
  2. Launch Backend: 
    cd backend
python app.py
  3. Launch Frontend: 
    cd frontend
npm run dev
  4. Optional: Podbean Integration: 
    cd backend/integrations/podbean_mcp
pip install -e .
python server.py
python client.py server.py
  5. Generate Content: Enter a topic in the homepage textbox and hit Enter. Switch to ContentGenerationView to see live script & audio progress.

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Code Explanation

  • Backend: Python Flask with Redis pub/sub, llama.cpp, and Orpheus TTS for audio generation
  • Frontend: React with Vite, Tailwind CSS, and Server-Sent Events for real-time updates
  • AI Integration: Perplexity API for content generation and trending topics detection
  • Audio Processing: Multi-speaker TTS with distinct voice personalities
  • Content Evaluation: Built-in pipelines for factual accuracy and legal compliance
  • Podcast Publishing: Direct integration with Podbean via MCP server

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Demo Video