The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
Error code: DatasetGenerationError
Exception: UnicodeDecodeError
Message: 'utf-8' codec can't decode byte 0xa0 in position 32: invalid start byte
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/text/text.py", line 98, in _generate_tables
batch = f.read(self.config.chunksize)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/file_utils.py", line 844, in read_with_retries
out = read(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "<frozen codecs>", line 322, in decode
UnicodeDecodeError: 'utf-8' codec can't decode byte 0xa0 in position 32: invalid start byte
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1922, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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✅ Complete README.md for IONA AI
markdown
IONA AI – Intelligent Voice & Chat Assistant
✨ Features
🎯 Core Capabilities
- Dual-Mode Interaction – Chat or Voice interface
- Real-time Voice Assistant – Speech-to-text + Text-to-Speech
- Multiple TTS Voices – Download and switch between voices on-the-fly
- 70+ VCTK Voices – Extensive voice library with multi‑voice models
- Groq API Integration – Fast AI responses with multiple key rotation
- Glassmorphism UI – Beautiful, modern frosted glass design
🎚️ Voice Controls
- Download voices from in‑app settings
- Switch voices via voice command ("Change your voice")
- Multi‑voice models – Select from 70+ VCTK speakers
- Pre‑warmed audio – Sub‑10ms first‑chunk latency
📊 Smart Features
- Conversation history – Remembers context across sessions
- Weather integration – Real‑time local weather
- Reminders – Schedule notifications
- Theme support – Light/Dark/System modes
🚀 Getting Started
Prerequisites
- Flutter SDK (3.22+)
- Android SDK (minSdk 24, targetSdk 35)
- iOS 13+ (for full TTS support)
- Groq API key(s) – Get one from console.groq.com
Installation
Clone the repository
git clone https://github.com/yourusername/iona.git cd ionaAdd your API keys Create a .env file in the project root:
GROQ_API_KEY_1=gsk_xxxx... GROQ_API_KEY_2=gsk_xxxx... # Optional – for key rotation GROQ_API_URL=https://api.groq.com/openai/v1 OPENWEATHER_API_KEY=your_key_hereInstall dependencies
flutter pub getRun the app
flutter run
🎤 Voice Models
IONA supports downloadable voice models hosted on Hugging Face. Each voice is a ZIP file containing:
· model.ort – Optimized ONNX model · tokens.txt – Tokenizer vocabulary
Available Voices
Voice ID Name Size Type Download amy Amy (UK Female) 42 MB Single Link hfc_female HFC Female 40 MB Single Link vctk_female VCTK Female 85 MB Multi (70+) Link libritts_r LibriTTS R Female 45 MB Single Link southern_english Southern English Female 40 MB Single Link
Note: All models use sherpa-onnx engine with VITS architecture.
🏗️ Architecture
iona/
├── lib/
│ ├── core/ # Constants, themes, prompts
│ ├── data/ # Models, providers (Hive, Riverpod)
│ ├── presentation/ # Screens, widgets
│ ├── service/ # TTS, API, storage, downloads
│ └── main.dart # Entry point
├── assets/
│ ├── fonts/ # Inter, Outfit, SpaceGrotesk
│ ├── sounds/ # Open/close sounds
│ └── espeak-ng-data/ # eSpeak phoneme data (355+ files)
└── pubspec.yaml
Key Technologies
· State Management – Riverpod · Local Storage – Hive + SharedPreferences · TTS Engine – sherpa‑onnx (Kokoro/Piper models) · Audio Playback – audioplayers · Speech Recognition – speech_to_text · Networking – Dio + http · Downloads – archive for ZIP extraction
🎨 UI/UX Highlights
Feature Description Glassmorphism Frosted glass cards with backdrop blur Voice Orb Animated orb with listening/speaking states Movie-style Subtitles Captions appear as IONA speaks Dark/Light Themes System-aware with purple/blue gradients Responsive Layout Adapts to all screen sizes
🔧 Configuration
Android Setup
In android/app/build.gradle:
android {
compileSdk 35
defaultConfig {
minSdk 24
targetSdk 35
}
packagingOptions {
jniLibs.useLegacyPackaging = true
pickFirst '**/libsherpa-onnx-c-api.so'
}
}
Permissions
<!-- AndroidManifest.xml -->
<uses-permission android:name="android.permission.INTERNET"/>
<uses-permission android:name="android.permission.RECORD_AUDIO"/>
<uses-permission android:name="android.permission.POST_NOTIFICATIONS"/>
🚦 Performance
Metric Value Device First-chunk TTS latency <10ms Moto G34 (arm64) Model load time ~1.2s 40‑85 MB models Memory usage ~180MB During synthesis Battery drain ~2%/hour Continuous use
📱 App Screens
Dashboard
· Real‑time clock & weather · Usage statistics · Calendar with reminders · Quick actions grid
Chat
· Message history with streaming · TTS playback of responses · Copy to clipboard · Session management
Voice
· Orb‑based interaction · Speech‑to‑text with visual feedback · Streaming captions · Voice change commands
Settings
· Profile name management · Theme selection · Voice downloads (progress indicators) · Multi‑voice selectors (for VCTK) · About & social links
🤝 Contributing
We welcome contributions! Please follow these steps:
- Fork the repository
- Create a feature branch (git checkout -b feature/amazing)
- Commit your changes (git commit -m 'Add amazing feature')
- Push to the branch (git push origin feature/amazing)
- Open a Pull Request
Development Guidelines
· Follow Flutter style guide · Write tests for new features · Update documentation as needed
📄 License
This project is licensed under the MIT License – see the LICENSE file for details.
🙏 Acknowledgments
· sherpa-onnx – Core TTS engine · Groq – Fast AI inference · Flutter Team – Amazing framework · Hugging Face – Model hosting · Piper TTS – Voice models
📬 Contact
· Developer: Pratyush Srivastava · Email: pratyush@iona.ai · Discord: Join our server · Instagram: @iona.ai · GitHub: github.com/iona-ai
Version 1.0.0 – IONA AI
📝 What's Included:
Section Purpose Features Highlights all capabilities Voice Models Downloadable voices table with links Architecture Project structure overview Performance Real-world metrics Screens Brief UI walkthrough Setup Installation instructions Contributing Guidelines for developers
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