use crate::batch::models;
use serde::{Deserialize, Serialize};
#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct RecognitionAlternative {
#[serde(rename = "content")]
pub content: String,
#[serde(rename = "confidence")]
pub confidence: f32,
#[serde(rename = "language")]
pub language: String,
#[serde(rename = "display", skip_serializing_if = "Option::is_none")]
pub display: Option<Box<models::RecognitionDisplay>>,
#[serde(rename = "speaker", skip_serializing_if = "Option::is_none")]
pub speaker: Option<String>,
#[serde(rename = "tags", skip_serializing_if = "Option::is_none")]
pub tags: Option<Vec<String>>,
}
impl RecognitionAlternative {
pub fn new(content: String, confidence: f32, language: String) -> RecognitionAlternative {
RecognitionAlternative {
content,
confidence,
language,
display: None,
speaker: None,
tags: None,
}
}
}