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| # Copyright 2020 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 | |
| # | |
| # https://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. | |
| # [START aiplatform_predict_text_classification_single_label_sample] | |
| from google.cloud import aiplatform | |
| from google.cloud.aiplatform.gapic.schema import predict | |
| from google.protobuf import json_format | |
| from google.protobuf.struct_pb2 import Value | |
| def predict_text_classification_single_label_sample( | |
| project: str, | |
| endpoint_id: str, | |
| content: str, | |
| location: str = "us-central1", | |
| api_endpoint: str = "us-central1-aiplatform.googleapis.com", | |
| ): | |
| # The AI Platform services require regional API endpoints. | |
| client_options = {"api_endpoint": api_endpoint} | |
| # Initialize client that will be used to create and send requests. | |
| # This client only needs to be created once, and can be reused for multiple requests. | |
| client = aiplatform.gapic.PredictionServiceClient(client_options=client_options) | |
| instance = predict.instance.TextClassificationPredictionInstance( | |
| content=content, | |
| ).to_value() | |
| instances = [instance] | |
| parameters_dict = {} | |
| parameters = json_format.ParseDict(parameters_dict, Value()) | |
| endpoint = client.endpoint_path( | |
| project=project, location=location, endpoint=endpoint_id | |
| ) | |
| response = client.predict( | |
| endpoint=endpoint, instances=instances, parameters=parameters | |
| ) | |
| print("response") | |
| print(" deployed_model_id:", response.deployed_model_id) | |
| predictions = response.predictions | |
| for prediction in predictions: | |
| print(" prediction:", dict(prediction)) | |
| return predictions | |
| # [END aiplatform_predict_text_classification_single_label_sample] | |