Metadata-Version: 2.4
Name: shonglish-ai
Version: 0.0.1
Summary: Shonglish AI - African Code-Switching TTS with Emotional Intelligence
Author-email: Charles Junior Nyanyira <hello@shonglish.ai>
License: MIT
Project-URL: Homepage, https://shonglish.ai
Project-URL: Documentation, https://shonglish.ai
Requires-Python: >=3.7
Description-Content-Type: text/markdown

\# Shonglish AI



\*\*The Code-Switching Voice AI Platform for Africa\*\*



Revolutionary TTS with emotional intelligence and cultural authenticity. Starting with Shonglish (Zimbabwe), expanding to 10+ African language pairs.



\## Why Shonglish AI?



Western TTS systems fail at African code-switching. Google Translate can't handle "Eish, ndiri busy but ndichaita plan" - we can.



\*\*What makes us different:\*\*

\- ✅ Emotional Intelligence: "Yoh!", "Eish!", cultural interjections with authentic prosody

\- ✅ Code-Switching: Natural mid-sentence language mixing (not translation)

\- ✅ Pan-African Methodology: Proven framework works for ANY African language pair

\- ✅ Data Sovereignty: Local deployment for government/enterprise compliance



\## Languages (Roadmap)



\*\*Live:\*\* Shonglish (Shona + English)  

\*\*Coming 2026:\*\* Nigerian Pidgin, isiZulu-English, Swahili-English  

\*\*Planned:\*\* 10+ African code-switching pairs by 2027



\## Use Cases



\- 📱 \*\*Mobile\*\*: Voice assistants for African telcos

\- 🏦 \*\*Enterprise\*\*: Customer service for banks, government, healthcare

\- 🎮 \*\*Entertainment\*\*: Authentic African character voices for games/films

\- 🌍 \*\*Platform\*\*: API for developers building African voice applications



\## Quick Start



```python

from shonglish\_ai import ShonglishTTS



tts = ShonglishTTS(api\_key="your\_key")

audio = tts.generate(

&#x20;   text="Eish, ndinosurudzika shamwari",

&#x20;   emotion="empathetic",

&#x20;   voice="taura-warm"

)

```



\*\*Get API access:\*\* https://shonglish.ai



\## Research



Published research on African code-switching TTS and emotional intelligence in voice AI.  

Papers: \[Coming soon on arXiv]



\## Powered By



First-of-its-kind Shonglish corpus with 1,500+ recordings capturing emotional interjections, street vernacular, and natural code-switching patterns.



\*\*License:\*\* MIT  

\*\*Website:\*\* https://shonglish.ai  

\*\*Contact:\*\* hello@shonglish.ai

