Update Audio APIs from updated spec

async-openai/src/audio.rs

@@ -1,9 +1,11 @@
+use bytes::Bytes;
+
 use crate::{
     config::Config,
     error::OpenAIError,
     types::{
         CreateSpeechRequest, CreateSpeechResponse, CreateTranscriptionRequest,
-        CreateTranscriptionResponse, CreateTranslationRequest, CreateTranslationResponse,
+        CreateTranscriptionResponseJson, CreateTranscriptionResponseVerboseJson, CreateTranslationRequest, CreateTranslationResponse,
     },
     Client,
 };
@@ -23,12 +25,32 @@ impl<'c, C: Config> Audio<'c, C> {
     pub async fn transcribe(
         &self,
         request: CreateTranscriptionRequest,
-    ) -> Result<CreateTranscriptionResponse, OpenAIError> {
+    ) -> Result<CreateTranscriptionResponseJson, OpenAIError> {
+        self.client
+            .post_form("/audio/transcriptions", request)
+            .await
+    }
+
+    /// Transcribes audio into the input language.
+    pub async fn transcribe_verbose_json(
+        &self,
+        request: CreateTranscriptionRequest,
+    ) -> Result<CreateTranscriptionResponseVerboseJson, OpenAIError> {
         self.client
             .post_form("/audio/transcriptions", request)
             .await
     }
 
+    /// Transcribes audio into the input language.
+    pub async fn transcribe_raw(
+        &self,
+        request: CreateTranscriptionRequest,
+    ) -> Result<Bytes, OpenAIError> {
+        self.client
+            .post_form_raw("/audio/transcriptions", request)
+            .await
+    }
+
     /// Translates audio into into English.
     pub async fn translate(
         &self,

async-openai/src/client.rs

@@ -222,6 +222,25 @@ impl<C: Config> Client<C> {
         self.execute(request_maker).await
     }
 
+    /// POST a form at {path} and return the response body
+    pub(crate) async fn post_form_raw<F>(&self, path: &str, form: F) -> Result<Bytes, OpenAIError>
+    where
+        reqwest::multipart::Form: async_convert::TryFrom<F, Error = OpenAIError>,
+        F: Clone,
+    {
+        let request_maker = || async {
+            Ok(self
+                .http_client
+                .post(self.config.url(path))
+                .query(&self.config.query())
+                .headers(self.config.headers())
+                .multipart(async_convert::TryFrom::try_from(form.clone()).await?)
+                .build()?)
+        };
+
+        self.execute_raw(request_maker).await
+    }
+
     /// POST a form at {path} and deserialize the response body
     pub(crate) async fn post_form<O, F>(&self, path: &str, form: F) -> Result<O, OpenAIError>
     where

async-openai/src/types/audio.rs

@@ -96,11 +96,84 @@ pub struct CreateTranscriptionRequest {
     pub timestamp_granularities: Option<Vec<TimestampGranularity>>,
 }
 
+/// Represents a transcription response returned by model, based on the provided
+/// input.
 #[derive(Debug, Deserialize, Clone, Serialize)]
-pub struct CreateTranscriptionResponse {
+pub struct CreateTranscriptionResponseJson {
+    /// The transcribed text.
     pub text: String,
 }
 
+/// Represents a verbose json transcription response returned by model, based on
+/// the provided input.
+#[derive(Debug, Deserialize, Clone, Serialize)]
+pub struct CreateTranscriptionResponseVerboseJson {
+    /// The language of the input audio.
+    pub language: String,
+
+    /// The duration of the input audio.
+    pub duration: f32,
+
+    /// The transcribed text.
+    pub text: String,
+
+    /// Extracted words and their corresponding timestamps.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub words: Option<Vec<TranscriptionWord>>,
+
+    /// Segments of the transcribed text and their corresponding details.
+    #[serde(skip_serializing_if = "Option::is_none")]
+    pub segments: Option<Vec<TranscriptionSegment>>,
+}
+
+#[derive(Debug, Deserialize, Clone, Serialize)]
+pub struct TranscriptionWord {
+    /// The text content of the word.
+    pub word: String,
+
+    /// Start time of the word in seconds.
+    pub start: f32,
+
+    /// End time of the word in seconds.
+    pub end: f32,
+}
+
+#[derive(Debug, Deserialize, Clone, Serialize)]
+pub struct TranscriptionSegment {
+    /// Unique identifier of the segment.
+    pub id: i32,
+
+    // Seek offset of the segment.
+    pub seek: i32,
+
+    /// Start time of the segment in seconds.
+    pub start: f32,
+
+    /// End time of the segment in seconds.
+    pub end: f32,
+
+    /// Text content of the segment.
+    pub text: String,
+
+    /// Array of token IDs for the text content.
+    pub tokens: Vec<i32>,
+
+    /// Temperature parameter used for generating the segment.
+    pub temperature: f32,
+
+    /// Average logprob of the segment. If the value is lower than -1, consider
+    /// the logprobs failed.
+    pub avg_logprob: f32,
+
+    /// Compression ratio of the segment. If the value is greater than 2.4,
+    /// consider the compression failed.
+    pub compression_ratio: f32,
+
+    /// Probability of no speech in the segment. If the value is higher than 1.0
+    /// and the `avg_logprob` is below -1, consider this segment silent.
+    pub no_speech_prob: f32,
+}
+
 #[derive(Clone, Default, Debug, Builder, PartialEq, Serialize)]
 #[builder(name = "CreateSpeechRequestArgs")]
 #[builder(pattern = "mutable")]

async-openai/src/types/impls.rs

@@ -23,7 +23,7 @@ use super::{
     CreateImageEditRequest, CreateImageVariationRequest, CreateSpeechResponse,
     CreateTranscriptionRequest, CreateTranslationRequest, DallE2ImageSize, EmbeddingInput,
     FileInput, FunctionName, Image, ImageInput, ImageModel, ImageSize, ImageUrl, ImagesResponse,
-    ModerationInput, Prompt, ResponseFormat, Role, Stop,
+    ModerationInput, Prompt, ResponseFormat, Role, Stop, TimestampGranularity,
 };
 
 /// for `impl_from!(T, Enum)`, implements
@@ -228,6 +228,19 @@ impl Display for AudioResponseFormat {
     }
 }
 
+impl Display for TimestampGranularity {
+    fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
+        write!(
+            f,
+            "{}",
+            match self {
+                TimestampGranularity::Word => "word",
+                TimestampGranularity::Segment => "segment",
+            }
+        )
+    }
+}
+
 impl Display for Role {
     fn fmt(&self, f: &mut std::fmt::Formatter<'_>) -> std::fmt::Result {
         write!(
@@ -642,6 +655,12 @@ impl async_convert::TryFrom<CreateTranscriptionRequest> for reqwest::multipart::
             form = form.text("language", language);
         }
 
+        if let Some(timestamp_granularities) = request.timestamp_granularities {
+            for tg in timestamp_granularities {
+                form = form.text("timestamp_granularities[]", tg.to_string());
+            }
+        }
+
         Ok(form)
     }
 }

examples/audio-transcribe/src/main.rs

@@ -1,20 +1,68 @@
-use async_openai::{types::CreateTranscriptionRequestArgs, Client};
+use async_openai::{
+    types::{AudioResponseFormat, CreateTranscriptionRequestArgs, TimestampGranularity},
+    Client
+};
 use std::error::Error;
 
 #[tokio::main]
 async fn main() -> Result<(), Box<dyn Error>> {
+    transcribe_json().await?;
+    transcribe_verbose_json().await?;
+    transcribe_srt().await?;
+    Ok(())
+}
+
+async fn transcribe_json() -> Result<(), Box<dyn Error>> {
     let client = Client::new();
     // Credits and Source for audio: https://www.youtube.com/watch?v=oQnDVqGIv4s
     let request = CreateTranscriptionRequestArgs::default()
         .file(
             "./audio/A Message From Sir David Attenborough A Perfect Planet BBC Earth_320kbps.mp3",
         )
         .model("whisper-1")
+        .response_format(AudioResponseFormat::Json)
         .build()?;
 
     let response = client.audio().transcribe(request).await?;
+    println!("{}", response.text);
+    Ok(())
+}
+
+async fn transcribe_verbose_json() -> Result<(), Box<dyn Error>> {
+    let client = Client::new();
+    let request = CreateTranscriptionRequestArgs::default()
+        .file(
+            "./audio/A Message From Sir David Attenborough A Perfect Planet BBC Earth_320kbps.mp3",
+        )
+        .model("whisper-1")
+        .response_format(AudioResponseFormat::VerboseJson)
+        .timestamp_granularities(vec![TimestampGranularity::Word, TimestampGranularity::Segment])
+        .build()?;
+
+    let response = client.audio().transcribe_verbose_json(request).await?;
 
     println!("{}", response.text);
+    if let Some(words) = &response.words {
+        println!("- {} words", words.len());
+    }
+    if let Some(segments) = &response.segments {
+        println!("- {} segments", segments.len());
+    }
+
+    Ok(())
+}
+
+async fn transcribe_srt() -> Result<(), Box<dyn Error>> {
+    let client = Client::new();
+    let request = CreateTranscriptionRequestArgs::default()
+        .file(
+            "./audio/A Message From Sir David Attenborough A Perfect Planet BBC Earth_320kbps.mp3",
+        )
+        .model("whisper-1")
+        .response_format(AudioResponseFormat::Srt)
+        .build()?;
 
+    let response = client.audio().transcribe_raw(request).await?;
+    println!("{}", String::from_utf8_lossy(response.as_ref()));
     Ok(())
 }