# FalahMobile Content Repository

Micro-learning courses for the FalahMobile Islamic lifestyle app.

## Repository Structure

```
falahmobile-content/
├── courses/                    # All courses
│   ├── daily-fiqh-beginner/
│   ├── 40-hadith-nawawi/
│   └── tafsir-bites/
├── assets/                     # Shared images, fonts, icons
├── scripts/                    # Build and generation scripts
│   ├── generate-audio.py       # TTS pipeline
│   └── validate-content.mjs    # Content quality checks
├── templates/                  # Lesson and course templates
└── README.md
```

## Content Format

Every lesson is a Markdown file with YAML frontmatter:

```yaml
---
id: "course-module-lesson"
title: "Lesson Title"
course: "Course Name"
module: "Module Name"
order: 1
read_time: "3 min"
difficulty: "beginner"
tags: ["fiqh", "prayer"]
source_refs: ["Quran 5:6", "Sahih Muslim 271"]
audio_ready: true
---
```

## Audio Pipeline

### ⚠️ Quality First — No Robot Voices

FalahMobile learners expect warm, natural, human-like audio. We specifically avoid the "Stephen Hawking" robotic sound of old TTS systems.

### Quality Rankings (Naturalness / Calmness)

| Service | Voice | Naturalness | Free Tier | Setup |
|---------|-------|-------------|-----------|-------|
| **ElevenLabs** ★ | `Rachel` | 9.5/10 | 10K chars/mo | API key |
| **Azure Speech** ★ | `en-US-AriaNeural` | 9.0/10 | 500K chars/mo | Azure account |
| **Google Cloud** | `en-US-Neural2-F` | 8.0/10 | 1M chars/mo | GCP account |
| **Piper TTS** | `amy` | 6.5/10 | Unlimited | Local download |

> **Recommendation**: Use **Azure AriaNeural** or **ElevenLabs Rachel** for production. Piper is acceptable for testing but sounds noticeably synthetic.

### Generate Audio

```bash
# See all engines with quality ratings
python scripts/generate-audio.py --list-engines

# Compare quality with a sample (generates test files)
python scripts/generate-audio.py --quality-check

# Using Azure (recommended — human-like, calm female)
python scripts/generate-audio.py --course daily-fiqh-beginner --engine azure --voice en-US-AriaNeural

# Using ElevenLabs (best quality, limited free tier)
export ELEVENLABS_API_KEY="your-key"
python scripts/generate-audio.py --course daily-fiqh-beginner --engine elevenlabs --voice Rachel

# Using Piper (free, local, acceptable for testing)
python scripts/generate-audio.py --course daily-fiqh-beginner --engine piper --voice amy
```

### SSML Settings for Natural Delivery

The script uses Azure's **calm expressive style** with gentle prosody:
- `rate="-5%"` — slightly slower than normal speech
- `pitch="-2%"` — slightly deeper, more grounded
- `mstts:express-as style="calm"` — warm, meditative tone

This is tuned for religious/reflective content. Not robotic. Not rushed. Human.

## Gitea Integration

Push content to your Gitea instance:

```bash
git remote add gitea https://your-gitea.com/user/falahmobile-content.git
git push gitea main
```

The FalahMobile app fetches content via the Gitea API or raw file URLs.

## Adding a New Course

1. Create `courses/<course-id>/manifest.json`
2. Create module directories with lesson `.md` files
3. Run `python scripts/validate-content.mjs`
4. Generate audio with `python scripts/generate-audio.py`
5. Commit and push to Gitea