# Aristech STT-Client for Rust
This is the Rust client implementation for the Aristech STT-Server.
## Installation
To use the client in your project, add it to your `Cargo.toml` or use `cargo` to add it:
```sh
cargo add aristech-stt-client
```
## Usage
```rust
use aristech_stt_client::{SttClientBuilder, recognize_file};
use std::error::Error;
#[tokio::main]
async fn main() -> Result<(), Box<dyn Error>> {
// Creating a client like this will attempt to parse the API key from the environment variable `ARISTECH_STT_API_KEY`.
// If the environment variable is not set or invalid, it will fall back to default values.
let mut client = SttClientBuilder::new()
.build()
.await?;
// To manually specify the API key and catch invalid API keys, use the default builder and the `api_key` method.
// let mut client = SttClientBuilder::default() // <- won't attempt to parse the API key from the environment variable
// .api_key("at-abc123...")? // <- will return an error if the API key is invalid
// .build()
// .await?;
let results = recognize_file(&mut client, "path/to/audio/file.wav", None).await?;
for result in results {
println!(
"{}",
result
.chunks
.get(0)
.unwrap()
.alternatives
.get(0)
.unwrap()
.text
);
}
Ok(())
}
```
There are several examples in the [examples](https://github.com/aristech-de/stt-clients/blob/main/rust/examples/) directory:
- [file.rs](https://github.com/aristech-de/stt-clients/blob/main/rust/examples/file.rs): Demonstrates how to perform recognition on a file.
- [live.rs](https://github.com/aristech-de/stt-clients/blob/main/rust/examples/live.rs): Demonstrates how to perform live recognition using the microphone.
- [models.rs](https://github.com/aristech-de/stt-clients/blob/main/rust/examples/models.rs): Demonstrates how to get the available models from the server.
- [nlpFunctions.rs](https://github.com/aristech-de/stt-clients/blob/main/rust/examples/nlpFunctions.rs): Demonstrates how to list the configured NLP-Servers and the coresponding functions.
- [nlpProcess.rs](https://github.com/aristech-de/stt-clients/blob/main/rust/examples/nlpProcess.rs): Demonstrates how to perform NLP processing on a text by using the STT-Server as a proxy.
- [account.rs](https://github.com/aristech-de/stt-clients/blob/main/rust/examples/account.rs): Demonstrates how to retrieve the account information from the server.
To run the examples, use `cargo`. For example:
```sh
cargo run --example live
```
### API Key
If you didn't get an API key but a token, secret and host instead, you can simply convert those values with our [API key generator](https://www.aristech.de/api-key-generator/?type=stt).
<details>
<summary>Alternatively you can still provide the connection options manually.</summary>
```rust
use aristech_stt_client::{SttClientBuilder, Auth};
let mut client = SttClientBuilder::default()
.host("https://stt.example.com:443")?
.auth(Some(Auth {
token: "your-token".to_string(),
secret: "your-secret".to_string(),
}))
.build()
.await?;
```
## Build
To build the library, run:
```bash
cargo build
```