Merge pull request #8 from dongri/fix-issue-7

Fix issue 7

Cargo.toml

@@ -1,6 +1,6 @@
 [package]
 name = "openai-api-rs"
-version = "0.1.5"
+version = "0.1.6"
 edition = "2021"
 authors = ["Dongri Jin <dongrify@gmail.com>"]
 license = "MIT"

examples/embedding.rs

@@ -0,0 +1,19 @@
+use openai_api_rs::v1::api::Client;
+use openai_api_rs::v1::embedding::EmbeddingRequest;
+use std::env;
+
+#[tokio::main]
+async fn main() -> Result<(), Box<dyn std::error::Error>> {
+    let client = Client::new(env::var("OPENAI_API_KEY").unwrap().to_string());
+    let req = EmbeddingRequest {
+        model: "text-embedding-ada-002".to_string(),
+        input: "story time".to_string(),
+        user: Option::None,
+    };
+    let result = client.embedding(req).await?;
+    println!("{:?}", result.data);
+
+    Ok(())
+}
+
+// OPENAI_API_KEY=xxxx cargo run --package openai-api-rs --example embedding

src/v1/embedding.rs

@@ -1,14 +1,11 @@
 use serde::{Deserialize, Serialize};
 use std::option::Option;
 
-use crate::v1::common;
-
 #[derive(Debug, Deserialize)]
 pub struct EmbeddingData {
     pub object: String,
     pub embedding: Vec<f32>,
     pub index: i32,
-    pub usage: common::Usage,
 }
 
 #[derive(Debug, Serialize)]
@@ -23,4 +20,12 @@ pub struct EmbeddingRequest {
 pub struct EmbeddingResponse {
     pub object: String,
     pub data: Vec<EmbeddingData>,
+    pub model: String,
+    pub usage: Usage,
+}
+
+#[derive(Debug, Deserialize)]
+pub struct Usage {
+    pub prompt_tokens: i32,
+    pub total_tokens: i32,
 }