-
Notifications
You must be signed in to change notification settings - Fork 2.8k
/
QuestionAnswer.java
53 lines (47 loc) · 2.14 KB
/
QuestionAnswer.java
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
/*
* Copyright 2023 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.
*/
package vertexai.gemini;
// [START generativeaionvertexai_non_stream_text_basic]
import com.google.cloud.vertexai.VertexAI;
import com.google.cloud.vertexai.api.GenerateContentResponse;
import com.google.cloud.vertexai.generativeai.GenerativeModel;
import com.google.cloud.vertexai.generativeai.ResponseHandler;
public class QuestionAnswer {
public static void main(String[] args) throws Exception {
// TODO(developer): Replace these variables before running the sample.
String projectId = "your-google-cloud-project-id";
String location = "us-central1";
String modelName = "gemini-1.0-pro-vision-001";
String output = simpleQuestion(projectId, location, modelName);
System.out.println(output);
}
// Asks a question to the specified Vertex AI Gemini model and returns the generated answer.
public static String simpleQuestion(String projectId, String location, String modelName)
throws Exception {
// Initialize client that will be used to send requests.
// This client only needs to be created once, and can be reused for multiple requests.
try (VertexAI vertexAI = new VertexAI(projectId, location)) {
String output;
GenerativeModel model = new GenerativeModel(modelName, vertexAI);
// Send the question to the model for processing.
GenerateContentResponse response = model.generateContent("Why is the sky blue?");
// Extract the generated text from the model's response.
output = ResponseHandler.getText(response);
return output;
}
}
}
// [END generativeaionvertexai_non_stream_text_basic]