diff --git a/R/gpt3_embeddings.R b/R/gpt3_embeddings.R
index 2a7b7c7..e8c09f6 100644
--- a/R/gpt3_embeddings.R
+++ b/R/gpt3_embeddings.R
@@ -15,7 +15,7 @@
 #'
 #' These vectors can be used for downstream tasks such as (vector) similarity calculations.
 #' @param input_var character vector that contains the texts for which you want to obtain text embeddings from the GPT-3 model
-#' #' @param id_var (optional) character vector that contains the user-defined ids of the prompts. See details.
+#' @param id_var (optional) character vector that contains the user-defined ids of the prompts. See details.
 #' @param param_model a character vector that indicates the [embedding model](https://beta.openai.com/docs/guides/embeddings/embedding-models); one of "text-embedding-ada-002" (default), "text-similarity-ada-001", "text-similarity-curie-001", "text-similarity-babbage-001", "text-similarity-davinci-001"
 #' @return A data.table with the embeddings as separate columns; one row represents one input text. See details.
 #' @examples
@@ -33,7 +33,7 @@
 #' ## Obtain text embeddings for the completion texts:
 #' emb_travelblogs = gpt3_embeddings(input_var = travel_blog_data$gpt3)
 #' dim(emb_travelblogs)
-#' @export
+#'@export
 gpt3_embeddings = function(input_var
                                 , id_var
                                 , param_model = 'text-embedding-ada-002'){