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chat.dart
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chat.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> chat() async {
// [START chat]
// 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 chat = model.startChat(history: [
Content.text('hello'),
Content.model([TextPart('Great to meet you. What would you like to know?')])
]);
var response =
await chat.sendMessage(Content.text('I have 2 dogs in my house.'));
print(response.text);
response =
await chat.sendMessage(Content.text('How many paws are in my house?'));
print(response.text);
// [END chat]
}
Future<void> chatStreaming() async {
// [START chat_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 chat = model.startChat(history: [
Content.text('hello'),
Content.model([TextPart('Great to meet you. What would you like to know?')])
]);
var responses =
chat.sendMessageStream(Content.text('I have 2 dogs in my house.'));
await for (final response in responses) {
print(response.text);
print('_' * 80);
}
responses =
chat.sendMessageStream(Content.text('How many paws are in my house?'));
await for (final response in responses) {
print(response.text);
print('_' * 80);
}
// [END chat_streaming]
}
Future<void> chatStreamingWithImages() async {
// [START chat_streaming_with_images]
// 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 chat = model.startChat();
var responses = chat.sendMessageStream(Content.text(
"Hello, I'm interested in learning about musical instruments. "
'Can I show you one?'));
await for (final response in responses) {
print(response.text);
print('_' * 80);
}
final prompt = 'What family of instruments does this belong to?';
final image = await fileToPart('image/jpeg', 'resources/organ.jpg');
responses = chat.sendMessageStream(Content.multi([TextPart(prompt), image]));
await for (final response in responses) {
print(response.text);
print('_' * 80);
}
// [END chat_streaming_with_images]
}
void main() async {
await chat();
await chatStreaming();
await chatStreamingWithImages();
}