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text_generation.dart
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// Copyright 2024 Google LLC
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
import 'dart:io';
import 'package:google_generative_ai/google_generative_ai.dart';
final apiKey = () {
final apiKey = Platform.environment['GEMINI_API_KEY'];
if (apiKey == null) {
stderr.writeln(r'No $GEMINI_API_KEY environment variable');
exit(1);
}
return apiKey;
}();
Future<void> textGenTextOnlyPrompt() async {
// [START text_gen_text_only_prompt]
// Make sure to include this import:
// import 'package:google_generative_ai/google_generative_ai.dart';
final model = GenerativeModel(
model: 'gemini-1.5-flash',
apiKey: apiKey,
);
final prompt = 'Write a story about a magic backpack.';
final response = await model.generateContent([Content.text(prompt)]);
print(response.text);
// [END text_gen_text_only_prompt]
}
Future<void> textGenTextOnlyPromptStreaming() async {
// [START text_gen_text_only_prompt_streaming]
// Make sure to include this import:
// import 'package:google_generative_ai/google_generative_ai.dart';
final model = GenerativeModel(
model: 'gemini-1.5-flash',
apiKey: apiKey,
);
final prompt = 'Write a story about a magic backpack.';
final responses = model.generateContentStream([Content.text(prompt)]);
await for (final response in responses) {
print(response.text);
}
// [END text_gen_text_only_prompt_streaming]
}
Future<void> textGenMultimodalOneImagePrompt() async {
// [START text_gen_multimodal_one_image_prompt]
// Make sure to include this import:
// import 'package:google_generative_ai/google_generative_ai.dart';
final model = GenerativeModel(
model: 'gemini-1.5-flash',
apiKey: apiKey,
);
Future<DataPart> fileToPart(String mimeType, String path) async {
return DataPart(mimeType, await File(path).readAsBytes());
}
final prompt = 'Describe how this product might be manufactured.';
final image = await fileToPart('image/jpeg', 'resources/jetpack.jpg');
final response = await model.generateContent([
Content.multi([TextPart(prompt), image])
]);
print(response.text);
// [END text_gen_multimodal_one_image_prompt]
}
Future<void> textGenMultimodalOneImagePromptStreaming() async {
// [START text_gen_multimodal_one_image_prompt_streaming]
// Make sure to include this import:
// import 'package:google_generative_ai/google_generative_ai.dart';
final model = GenerativeModel(
model: 'gemini-1.5-flash',
apiKey: apiKey,
);
Future<DataPart> fileToPart(String mimeType, String path) async {
return DataPart(mimeType, await File(path).readAsBytes());
}
final prompt = 'Describe how this product might be manufactured.';
final image = await fileToPart('image/jpeg', 'resources/jetpack.jpg');
final responses = model.generateContentStream([
Content.multi([TextPart(prompt), image])
]);
await for (final response in responses) {
print(response.text);
}
// [END text_gen_multimodal_one_image_prompt_streaming]
}
Future<void> textGenMultimodalMultiImagePrompt() async {
// [START text_gen_multimodal_multi_image_prompt]
// Make sure to include this import:
// import 'package:google_generative_ai/google_generative_ai.dart';
final model = GenerativeModel(
model: 'gemini-1.5-flash',
apiKey: apiKey,
);
Future<DataPart> fileToPart(String mimeType, String path) async {
return DataPart(mimeType, await File(path).readAsBytes());
}
final prompt = 'Write an advertising jingle showing how the product in the'
' first image could solve the problems shown in the second two images.';
final images = await [
fileToPart('image/jpeg', 'resources/jetpack.jpg'),
fileToPart('image/jpeg', 'resources/piranha.jpg'),
fileToPart('image/jpeg', 'resources/firefighter.jpg'),
].wait;
final response = await model.generateContent([
Content.multi([TextPart(prompt), ...images])
]);
print(response.text);
// [END text_gen_multimodal_multi_image_prompt]
}
Future<void> textGenMultimodalMultiImagePromptStreaming() async {
// [START text_gen_multimodal_multi_image_prompt_streaming]
// Make sure to include this import:
// import 'package:google_generative_ai/google_generative_ai.dart';
final model = GenerativeModel(
model: 'gemini-1.5-flash',
apiKey: apiKey,
);
Future<DataPart> fileToPart(String mimeType, String path) async {
return DataPart(mimeType, await File(path).readAsBytes());
}
final prompt = 'Write an advertising jingle showing how the product in the'
' first image could solve the problems shown in the second two images.';
final images = await [
fileToPart('image/jpeg', 'resources/jetpack.jpg'),
fileToPart('image/jpeg', 'resources/piranha.jpg'),
fileToPart('image/jpeg', 'resources/firefighter.jpg'),
].wait;
final responses = model.generateContentStream([
Content.multi([TextPart(prompt), ...images])
]);
await for (final response in responses) {
print(response.text);
}
// [END text_gen_multimodal_multi_image_prompt_streaming]
}
void main() async {
await textGenTextOnlyPrompt();
await textGenTextOnlyPromptStreaming();
await textGenMultimodalOneImagePrompt();
await textGenMultimodalOneImagePromptStreaming();
await textGenMultimodalMultiImagePrompt();
await textGenMultimodalMultiImagePromptStreaming();
}