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The dataset generation failed
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 dataset

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End of preview.

✅ Complete README.md for IONA AI

markdown

IONA AI – Intelligent Voice & Chat Assistant

IONA AI Logo

Your personal AI companion with voice, chat, and real-time TTS

Flutter Dart License: MIT


✨ 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

  1. Clone the repository

    git clone https://github.com/yourusername/iona.git
    cd iona
    
  2. Add 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_here
    
  3. Install dependencies

    flutter pub get
    
  4. Run 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:

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing)
  5. 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


Made with ❤️ by Pratyush Srivastava
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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