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https://github.com/intothevoid/rss2podcast
Parse, summarise and convert rss feeds into an audio podcast
https://github.com/intothevoid/rss2podcast
ai coqui golang ollama podcast rss tts
Last synced: about 15 hours ago
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Parse, summarise and convert rss feeds into an audio podcast
- Host: GitHub
- URL: https://github.com/intothevoid/rss2podcast
- Owner: intothevoid
- License: mit
- Created: 2024-03-07T11:40:17.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2024-04-07T12:17:00.000Z (6 months ago)
- Last Synced: 2024-09-25T08:25:46.909Z (3 days ago)
- Topics: ai, coqui, golang, ollama, podcast, rss, tts
- Language: Go
- Homepage:
- Size: 1.13 MB
- Stars: 8
- Watchers: 2
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# rss2podcast
A locally hosted, AI generated podcast from an rss feed.
Powered by -
## How it works
The application reads an rss feed, extracts the articles and summarises them.
RSS + Ollama + TTS = Podcast
### RSS
The application reads an rss feed and extracts the articles. Each of these articles are then processed by scraping the article content.
### Ollama
The application uses a locally hosted version of Ollama. The Ollama API is used to summarise the article content. Default model used is mistral:7b
### TTS
The summarised article content is then converted into an audio podcast using the Coqui TTS API.
## Dependencies
This project requires the following dependencies to be installed on your system.
### Ollama
You can install the Ollama server by following the instructions on the [official website](https://ollama.com).
Ollama needs to be running on your local machine for the application to work. The application is configured to use the default Ollama server URL `http://localhost:11434/api/generate`. This can be changed via the config.yaml file.
### ffmpeg
`ffmpeg` is a command-line tool for handling multimedia files. It is used to convert the generated audio files to the MP3 format.
#### macOS
You can use Homebrew to install `ffmpeg` on macOS:
```bash
brew install ffmpeg
```
#### Windows
1. Download the `ffmpeg` build for Windows from the [official website](https://ffmpeg.org/download.html).
2. Extract the downloaded ZIP file.
3. Add the `bin` directory from the extracted folder to your system's PATH.
#### Linux
The installation command depends on your Linux distribution.
##### Ubuntu/Debian
```bash
sudo apt update
sudo apt install ffmpeg
```
### Coqui TTS
Coqui TTS is a text-to-speech synthesis system that uses deep learning to create human-like speech from text. You can install the Coqui TTS server by following the instructions on the [official website](https://coqui.ai/tts).
#### Docker
Start the container by using the following command:
```bash
docker run -d -p 5002:5002 --platform linux/amd64 --entrypoint /usr/local/bin/tts-server ghcr.io/coqui-ai/tts-cpu --model_name tts_models/en/ljspeech/vits
```
## Installation
Clone the repository and navigate into the directory:
```bash
git clone https://github.com/yourusername/your-repo.git
cd your-repo
```
Then, install the dependencies:
```bash
go mod download
```
## Usage
To run the application, navigate to the cmd/rss2podcast directory and run:
```bash
go run main.go
```
## Testing
To run the tests, use the following command:
```bash
go test ./...
```
## Configuration
The application's configuration is stored in a `config.yaml` file. Here's what each section does:
### Podcast
This section contains information about the podcast.
```yaml
podcast:
subject: "News" # The subject of the podcast
podcaster: "Cody" # The name of the podcaster
```
### RSS
This section contains information about the RSS feed.
```yaml
rss:
url: "https://www.reutersagency.com/feed/?taxonomy=best-topics&post_type=best" # The URL of the RSS feed
max_articles: 10 # The maximum number of articles to fetch from the RSS feed
filters: # Keywords to filter articles by
- "Daily"
- "Weekly"
```
### Ollama
This section contains information about the Ollama service.
```yaml
ollama:
end_point: "http://localhost:11434/api/generate" # The URL of the Ollama service
model: "mistral:7b" # The model used by the Ollama service
```
### TTS
This section contains information about the Text-to-Speech (TTS) service.
```yaml
tts:
url: "http://localhost:5002/api/tts" # The URL of the TTS service
```
You can modify these values to suit your needs. Remember to restart the application after making changes to the configuration file.
## Contributing
Contributions are welcome. Please open a pull request with your changes.
## License
This project is licensed under the terms of the MIT License.