https://github.com/dwain-barnes/deepseek-thinking-tts
Listen to DeepSeek's thinking process in real-time! This script converts DeepSeek's thinking tags (<think>...</think>) to speech using Kokoro TTS, allowing you to hear the model's "thoughts" as it reasons through your questions.
https://github.com/dwain-barnes/deepseek-thinking-tts
ai-reasoning artificial-intelligence deepseek deepseek-r1 kokoro-tts llm ollama text-to-speech thinking-out-loud
Last synced: 3 months ago
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Listen to DeepSeek's thinking process in real-time! This script converts DeepSeek's thinking tags (<think>...</think>) to speech using Kokoro TTS, allowing you to hear the model's "thoughts" as it reasons through your questions.
- Host: GitHub
- URL: https://github.com/dwain-barnes/deepseek-thinking-tts
- Owner: dwain-barnes
- Created: 2025-01-30T19:38:56.000Z (8 months ago)
- Default Branch: main
- Last Pushed: 2025-01-30T19:54:04.000Z (8 months ago)
- Last Synced: 2025-03-28T02:51:45.866Z (6 months ago)
- Topics: ai-reasoning, artificial-intelligence, deepseek, deepseek-r1, kokoro-tts, llm, ollama, text-to-speech, thinking-out-loud
- Language: Python
- Homepage: https://www.gpt-labs.ai
- Size: 7.81 KB
- Stars: 3
- Watchers: 3
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# DeepSeek Thinking TTS
Listen to DeepSeek's thinking process in real-time! This script converts DeepSeek's thinking tags (...) to speech using Kokoro TTS, allowing you to hear the model's "thoughts" as it reasons through your questions.
## Thanks
Special thanks to Kris @AllAboutAI-YT for the inspiration behind this project
## Features
- Streams DeepSeek responses through Ollama
- Detects and processes thinking tags in real-time
- Converts "thoughts" to speech using Kokoro TTS
- Supports multiple voice combinations (e.g., af_sky+af_bella)
- Real-time audio playback of AI reasoning
## Requirements
- Python 3.10+
- Ollama with DeepSeek model installed
- Docker for running Kokoro TTS
- For GPU support: NVIDIA GPU + CUDA
## Installation
1. Clone the repository:
```bash
git clone https://github.com/yourusername/deepseek-thinking-tts.git
cd deepseek-thinking-tts
```
2. Install Python requirements:
```bash
pip install -r requirements.txt
```
3. Start Kokoro TTS server:
For CPU:
```bash
docker run -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-cpu:v0.1.0post1
```
For GPU (requires NVIDIA GPU + CUDA):
```bash
docker run --gpus all -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-gpu:v0.1.0post1
```
4. Start Ollama with DeepSeek model:
```bash
ollama run deepseek-r1:14b
```
## Usage
Run the script:
```bash
python deepseek-think-tts.py
```
The script will detect DeepSeek's thinking tags and convert them to speech in real-time, letting you hear the AI's reasoning process out loud.
## How it works
1. The script connects to Ollama running the DeepSeek model
2. It monitors the output stream for thinking tags (...)
3. When thinking content is detected, it's sent to Kokoro TTS
4. The generated speech is played in real-time through your speakers
## Credits
- [Kokoro-FastAPI](https://github.com/remsky/Kokoro-FastAPI) - TTS server
- [Ollama](https://ollama.ai/) - Local LLM runner
- [DeepSeek](https://github.com/deepseek-ai/DeepSeek-LLM) - Language model