I am trying to call trained model from google colab with example provided.
But there is an error.
Who knows is it beta error or I have not set somethoing properly?
Thanks in advance.
The code
from google.cloud import automl_v1beta1 as automl
automl_client = automl.AutoMlClient()
# Create client for prediction service.
prediction_client =
automl.PredictionServiceClient().from_service_account_json(
'XXXXX.json')
# Get the full path of the model.
model_full_id = automl_client.model_path(
project_id, compute_region, model_id
)
# Read the file content for prediction.
#with open(file_path, "rb") as content_file:
snippet = "fsfsf" #content_file.read()
# Set the payload by giving the content and type of the file.
payload = {"text_snippet": {"content": snippet, "mime_type": "text/plain"}}
# params is additional domain-specific parameters.
# currently there is no additional parameters supported.
params = {}
response = prediction_client.predict(model_full_id, payload, params)
print("Prediction results:")
for result in response.payload:
print("Predicted class name: {}".format(result.display_name))
print("Predicted class score: {}".format(result.classification.score))
The eror msg^
InvalidArgument: 400 List of found errors: 1.Field: name; Message: The provided location ID is not valid.
You have to use a region that supports AutoML beta. This works for me:
create_dataset("myproj-123456", "us-central1", "my_dataset_id", "en", "de")