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title: Ai Podcast Generator | ||
date: 2024-11-24 12:00:00 -500 | ||
categories: [ai] | ||
tags: [docker,ai,node,anthropic,elevenlabs] # Tag should always be in lowercase | ||
image: | ||
path: /assets/images/headers/podcast-ai.webp | ||
--- | ||
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[![Python application](https://github.com/bigsk1/podcast-ai/actions/workflows/python-app.yml/badge.svg)](https://github.com/bigsk1/podcast-ai/actions/workflows/python-app.yml) | ||
![Docker support](https://img.shields.io/badge/docker-supported-blue) | ||
[![Docker Pulls](https://img.shields.io/docker/pulls/bigsk1/podcast-ai)](https://hub.docker.com/r/bigsk1/podcast-ai) | ||
[![Docker Image Size](https://img.shields.io/docker/image-size/bigsk1/podcast-ai)](https://hub.docker.com/r/bigsk1/podcast-ai) | ||
[![Check it out on Twitter](https://img.shields.io/badge/Twitter-Video-blue?style=flat-square)](https://twitter.com/bigsk1_com/status/1859603611296412020) | ||
[![License](https://img.shields.io/github/license/bigsk1/podcast-ai)](https://github.com/bigsk1/podcast-ai/blob/main/LICENSE) | ||
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# AI Podcast Generator 🎙️ | ||
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An AI-powered tool that transforms YouTube videos into engaging podcast discussions. Features a modern web interface for easy use and optional CLI functionality. Downloads videos, transcribes them, and generates natural conversations between AI voices discussing the content. | ||
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https://github.com/user-attachments/assets/daeb1068-6f63-499c-9790-8ac34a46a140 | ||
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## Features | ||
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- 🎯 Modern web interface for easy podcast generation | ||
- 🎥 Embedded YouTube video player | ||
- 🔊 Interactive audio player for generated podcasts | ||
- 💾 History tracking of processed videos | ||
- 🤖 Natural conversation generation using Claude AI or XAI | ||
- 🗣️ Multiple AI voices using ElevenLabs | ||
- ⚡ Real-time processing status updates | ||
- 📝 Optional fact-checking of content | ||
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## Quick Start with Docker Run 🐳 | ||
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- Install Docker. | ||
- Place your `.env` file in the same directory as this command. See the .env.example for details | ||
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Run the following command: | ||
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```bash | ||
docker run -d --name podcast-app \ | ||
--env-file .env \ | ||
-p 5000:5000 \ | ||
-p 5173:5173 \ | ||
-v $(pwd)/public/audio:/app/public/audio \ | ||
-v $(pwd)/output:/app/output \ | ||
--restart unless-stopped \ | ||
--health-cmd="curl -f http://localhost:5000/health || exit 1" \ | ||
--health-interval=30s \ | ||
--health-timeout=10s \ | ||
--health-retries=3 \ | ||
bigsk1/podcast-ai:latest | ||
``` | ||
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## Prerequisites | ||
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- Node.js 18 + | ||
- Python 3.10 + | ||
- FFmpeg installed and in PATH | ||
- ElevenLabs API key | ||
- Anthropic (Claude) or XAI API key | ||
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## Docker Compose Setup 🐳 | ||
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You can run the application using Docker with these simple steps: | ||
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1. Clone the repository and navigate to it: | ||
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```bash | ||
git clone https://github.com/bigsk1/podcast-ai.git | ||
cd podcast-ai | ||
``` | ||
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2. Create your .env file with required API keys and settings, see the .env.example | ||
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3. Using Docker Compose: | ||
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```bash | ||
cd docker | ||
docker-compose up -d --build | ||
``` | ||
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The application will be available at: | ||
- Frontend UI: http://localhost:5173 | ||
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To stop the container: | ||
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```bash | ||
docker-compose down | ||
``` | ||
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Note: Generated audio files will be available in the `public/audio` directory, just like in the standard setup. | ||
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### Docker with Cuda for faster transcription on Nvidia GPU | ||
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Note: This is only slightly faster as the transcription can go pretty quick anyway on cpu. To use make sure you have nvidia container toolkit and cudnn installed on host machine. | ||
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- Test to see if you can run by first using | ||
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```bash | ||
sudo docker run --rm --runtime=nvidia --gpus all ubuntu nvidia-smi | ||
``` | ||
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- Run docker compose with cuda enabled transcription | ||
```bash | ||
docker compose -f cuda.docker-compose.yml up -d --build | ||
``` | ||
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## Installation - Windows / Ubuntu | ||
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1. Clone the repository: | ||
```bash | ||
git clone https://github.com/bigsk1/podcast-ai.git | ||
cd podcast-ai | ||
``` | ||
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2. Install frontend dependencies: | ||
```bash | ||
npm install | ||
``` | ||
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3. Set up Python environment and install dependencies: | ||
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```bash | ||
python -m venv venv | ||
source venv/bin/activate # Linux/Mac | ||
# or | ||
venv\Scripts\activate # Windows | ||
``` | ||
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Install requirements | ||
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```bash | ||
pip install -r requirements.txt | ||
``` | ||
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4. Create .env file with your API keys: | ||
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```env | ||
# ELEVENLABS VOICE ID'S - add your own voice id's | ||
VOICE1=111111111111 | ||
VOICE2=111111111111 | ||
# AI Model Settings - xai, anthropic | ||
AI_PROVIDER=anthropic | ||
# model name: grok-beta, claude-3-5-sonnet-latest | ||
MODEL_NAME=claude-3-5-sonnet-latest | ||
# Podcast Generation Settings | ||
# Minimum number of back-and-forth exchanges | ||
MIN_EXCHANGES=4 | ||
# Maximum number of exchanges | ||
MAX_EXCHANGES=20 | ||
# Minimum words per exchange | ||
EXCHANGE_LENGTH_MIN_WORDS=20 | ||
# Maximum words per exchange | ||
EXCHANGE_LENGTH_MAX_WORDS=150 | ||
# Audio Length Control | ||
# Target length for final podcast (in minutes) | ||
TARGET_LENGTH_MINUTES=3 | ||
# Allowed deviation from target (20% = ±36 seconds for 3 min target) | ||
LENGTH_FLEXIBILITY=0.2 | ||
# Target output length as ratio of source (0.2 = 20% of original) | ||
SOURCE_LENGTH_RATIO=0.2 | ||
# Minimum podcast length in minutes | ||
MIN_PODCAST_LENGTH=2 | ||
# Minimum podcast length in minutes | ||
MAX_PODCAST_LENGTH=5 | ||
# Maximum podcast length in minutes | ||
# Content Coverage | ||
# comprehensive, summary, or highlights, humor, emotional, debate | ||
COVERAGE_STYLE=highlights | ||
# Enable AI fact checking | ||
FACT_CHECK_ENABLED=false | ||
# balanced, critical, or supportive | ||
FACT_CHECK_STYLE=balanced | ||
# Model Settings | ||
TEMPERATURE=0.7 | ||
MAX_TOKENS=8192 | ||
LOGGING_LEVEL=DEBUG | ||
# Output Directory | ||
OUTPUT_DIR=output | ||
# ANTHROPIC API KEY | ||
ANTHROPIC_API_KEY=your_key_here | ||
# ELEVENLABS API KEY | ||
ELEVENLABS_API_KEY=your_key_here | ||
# For XAI | ||
XAI_BASE_URL=https://api.x.ai | ||
XAI_API_KEY=your_xai_key | ||
# Frontend configuration | ||
# if access on other machine on network change to actual server ip | ||
VITE_API_URL=http://localhost:5000 | ||
``` | ||
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5. Change voice.json.example to voice.json and add your voice names and id's from elevenlabs, this is a collection that you want to use, set the current voice id in the .env when running the app. | ||
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6. Make sure you have ffmpeg installed | ||
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Windows | ||
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```bash | ||
winget install ffmpeg | ||
``` | ||
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Linux | ||
```bash | ||
sudo apt install ffmpeg | ||
``` | ||
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## Usage | ||
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### Web Interface | ||
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1. Start the backend server in one terminal: | ||
```bash | ||
python api.py | ||
``` | ||
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2. Start the frontend development server in another terminal: | ||
```bash | ||
npm run dev | ||
``` | ||
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3. Open http://localhost:5173 in your browser | ||
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4. Paste a YouTube URL and click "Generate AI Podcast Review" | ||
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### CLI Version (Optional) | ||
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The tool can also be used from the command line: | ||
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```bash | ||
# Basic usage | ||
python main.py "https://www.youtube.com/watch?v=video_id" | ||
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# Skip audio generation | ||
python main.py --no-audio "https://www.youtube.com/watch?v=video_id" | ||
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# Generate without merging | ||
python main.py --no-merge "https://www.youtube.com/watch?v=video_id" | ||
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# Merge audio files manually | ||
python merge_audio_cli.py output conversation.mp3 | ||
``` | ||
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## Output | ||
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Generated files are saved in: | ||
- UI version: `public/audio/` directory | ||
- CLI version: `output/` directory | ||
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## Configuration Options | ||
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All configuration options are set through the .env file. See the sample .env file above for common settings. Also make sure you have your elevenlabs voice id's. The provided example voice id's in voices.json won't work for you, each account has it's own specific id's to match there api key. | ||
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## Examples | ||
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Check out the video on [X](https://twitter.com/bigsk1_com/status/1859603611296412020). | ||
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https://aicodelabs.io/emotional.mp3 | ||
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<audio controls> | ||
<source src="https://aicodelabs.io/emotional.mp3" type="audio/mpeg"> | ||
Your browser does not support the audio element. | ||
</audio> | ||
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--- | ||
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https://aicodelabs.io/silo.mp3 | ||
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<audio controls> | ||
<source src="https://aicodelabs.io/silo.mp3" type="audio/mpeg"> | ||
Your browser does not support the audio element. | ||
</audio> | ||
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--- | ||
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https://aicodelabs.io/merged.mp3 | ||
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<audio controls> | ||
<source src="https://aicodelabs.io/merged.mp3" type="audio/mpeg"> | ||
Your browser does not support the audio element. | ||
</audio> | ||
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## In Progress | ||
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1. Adding Openai | ||
2. Adding ollama | ||
3. Add web search into fact checking of podcast | ||
4. Add youtube API and add a search feature in header and seperate page for one click podcast generation | ||
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## Troubleshooting | ||
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### Could not locate cudnn_ops64_9.dll | ||
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```bash | ||
Could not locate cudnn_ops64_9.dll. Please make sure it is in your library path! | ||
Invalid handle. Cannot load symbol cudnnCreateTensorDescriptor | ||
``` | ||
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To resolve this: | ||
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Install cuDNN: Download cuDNN from the NVIDIA cuDNN page https://developer.nvidia.com/cudnn | ||
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Here’s how to add it to the PATH: | ||
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Open System Environment Variables: | ||
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Press Win + R, type sysdm.cpl, and hit Enter. Go to the Advanced tab, and click on Environment Variables. Edit the System PATH Variable: | ||
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In the System variables section, find the Path variable, select it, and click Edit. Click New and add the path to the bin directory where cudnn_ops64_9.dll is located. Based on your setup, you would add: | ||
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```bash | ||
C:\Program Files\NVIDIA\CUDNN\v9.5\bin\12.6 | ||
``` | ||
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Apply and Restart: | ||
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Click OK to close all dialog boxes, then restart your terminal (or any running applications) to apply the changes. Verify the Change: | ||
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Open a new terminal and run | ||
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```bash | ||
where cudnn_ops64_9.dll | ||
``` | ||
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## pyaudio codec issue | ||
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Make sure you have ffmpeg installed and added to PATH on windows terminal ( winget install ffmpeg ) | ||
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## Github | ||
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[Podcast-AI Github](url=https://github.com/bigsk1/podcast-ai) |
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