vios_app 0.1.1

Small JSON vaults: Argon2id + AES-GCM, with optional AAD binding.
Documentation 
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// 🔊 whisper_utils.rs — Tone + Intent Classifier Utilities

/// Classifies tone and intent from input text.
/// Upgrade with Whisper Loop, ML, or LLM fallback later.
pub fn classify_tone_and_intent(text: &str) -> (String, String, f32) {
    let text = text.to_lowercase();

    // 🔹 Tone classification (basic keyword matching)
    let (tone, confidence) = if text.contains("grateful")
        || text.contains("joy")
        || text.contains("excited")
        || text.contains("love")
    {
        ("positive".to_string(), 0.95)
    } else if text.contains("angry")
        || text.contains("upset")
        || text.contains("hate")
        || text.contains("frustrated")
    {
        ("angry".to_string(), 0.90)
    } else if text.contains("sad")
        || text.contains("tired")
        || text.contains("depressed")
        || text.contains("lonely")
    {
        ("sad".to_string(), 0.90)
    } else if text.contains("hopeful") || text.contains("determined") || text.contains("faith") {
        ("hopeful".to_string(), 0.92)
    } else {
        ("neutral".to_string(), 0.70)
    };

    // 🔹 Intent classification (basic logic)
    let intent = if text.contains("help") {
        "seek_help"
    } else if text.contains("sorry") || text.contains("apologize") {
        "apologize"
    } else if text.contains("want") || text.contains("plan") {
        "intend"
    } else {
        "reflect"
    }
    .to_string();

    (tone, intent, confidence)
}

/// Dummy audio transcription placeholder.
/// Replace with real Whisper Loop, FFI bridge, or local ASR.
pub fn transcribe_audio(_file_path: &str) -> String {
    "[Transcription not implemented]".to_string()
}