[ Fix ] fixed the non resulted n field of image variation method
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@ -1,3 +1,5 @@
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import 'dart:io';
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import 'package:dart_openai/dart_openai.dart';
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import 'env/env.dart';
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@ -7,9 +9,10 @@ Future<void> main() async {
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OpenAI.apiKey = Env.apiKey;
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// Creates the Image Variation
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final variation = await OpenAI.instance.image.create(
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prompt: "Tree with blue butterflies wings",
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n: 2,
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final variation = await OpenAI.instance.image.variation(
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model: "dall-e-2",
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image: File("dart.png"),
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n: 4,
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);
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// Prints the result.
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@ -280,6 +280,8 @@ abstract class OpenAINetworkingClient {
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String respondData = "";
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stream.where((event) => event.isNotEmpty).listen(
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(value) {
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print(value);
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final data = value;
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respondData += data;
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@ -407,7 +409,7 @@ abstract class OpenAINetworkingClient {
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required String to,
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required T Function(Map<String, dynamic>) onSuccess,
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// ignore: avoid-unused-parameters
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required Map<String, dynamic> body,
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required Map<String, String> body,
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required File image,
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}) async {
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OpenAILogger.logStartRequest(to);
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@ -420,6 +422,7 @@ abstract class OpenAINetworkingClient {
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final imageFile = await http.MultipartFile.fromPath("image", image.path);
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request.fields.addAll(body);
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request.files.add(imageFile);
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final http.StreamedResponse response = await request.send();
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@ -107,6 +107,9 @@ interface class OpenAIImages implements OpenAIImagesBase {
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/// Creates an edited or extended image given an original image and a prompt.
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///
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/// [model] is the model to use for generating the image.
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///
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///
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/// [image] to edit. Must be a valid PNG file, less than 4MB, and square. If mask is not provided, image must have transparency, which will be used as the mask.
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///
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///
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@ -146,6 +149,7 @@ interface class OpenAIImages implements OpenAIImagesBase {
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///```
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@override
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Future<OpenAiImageEditModel> edit({
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String? model,
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required File image,
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File? mask,
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required String prompt,
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@ -155,10 +159,12 @@ interface class OpenAIImages implements OpenAIImagesBase {
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String? user,
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}) async {
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final String edit = "/edits";
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return await OpenAINetworkingClient.imageEditForm<OpenAiImageEditModel>(
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image: image,
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mask: mask,
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body: {
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if (model != null) "model": model,
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"prompt": prompt,
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if (n != null) "n": n.toString(),
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if (size != null) "size": size.value,
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@ -175,6 +181,9 @@ interface class OpenAIImages implements OpenAIImagesBase {
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/// Creates a variation of a given image.
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///
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///
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/// [model] is the model to use for generating the image.
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///
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///
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/// [image] to use as the basis for the variation(s). Must be a valid PNG file, less than 4MB, and square.
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///
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///
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@ -206,6 +215,7 @@ interface class OpenAIImages implements OpenAIImagesBase {
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/// ```
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@override
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Future<OpenAIImageVariationModel> variation({
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String? model,
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required File image,
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int? n,
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OpenAIImageSize? size,
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@ -218,7 +228,8 @@ interface class OpenAIImages implements OpenAIImagesBase {
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OpenAIImageVariationModel>(
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image: image,
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body: {
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if (n != null) "n": n,
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if (model != null) "model": model,
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if (n != null) "n": n.toString(),
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if (size != null) "size": size.value,
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if (responseFormat != null) "response_format": responseFormat.value,
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if (user != null) "user": user,
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