How to set Google API credentials to access the AutoML API through a Jupyter notebook?
I created a simple Google AutoML Natural Language model, following Google's Tutorial (https://cloud.google.com/natural-language/automl/docs/tutorial).
Now, I would like to use the API of this model in a function written in this simple jupyter notebook.
To set the API credentials, if I was using a PC, I should use:
import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="/path/to/file.json"
And add on the Environment Variables on my computer a new variable under system variables %GOOGLE_APPLICATION_CREDENTIALS% .
But, since I'm using a jupyter notebook, I'm having difficult on setting the authentication of the API (I don't know how to set the environment variables of the JSON key on it).
How could I do it with this code in a Jupyter notebook?
python google-api jupyter-notebook google-cloud-automl
asked Nov 24 '18 at 19:31
craftApprenticecraftApprentice
84183772
add a comment |
I created a simple Google AutoML Natural Language model, following Google's Tutorial (https://cloud.google.com/natural-language/automl/docs/tutorial).
Now, I would like to use the API of this model in a function written in this simple jupyter notebook.
To set the API credentials, if I was using a PC, I should use:
import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="/path/to/file.json"
And add on the Environment Variables on my computer a new variable under system variables %GOOGLE_APPLICATION_CREDENTIALS% .
But, since I'm using a jupyter notebook, I'm having difficult on setting the authentication of the API (I don't know how to set the environment variables of the JSON key on it).
How could I do it with this code in a Jupyter notebook?
python google-api jupyter-notebook google-cloud-automl
asked Nov 24 '18 at 19:31
craftApprenticecraftApprentice
84183772
add a comment |
I created a simple Google AutoML Natural Language model, following Google's Tutorial (https://cloud.google.com/natural-language/automl/docs/tutorial).
Now, I would like to use the API of this model in a function written in this simple jupyter notebook.
To set the API credentials, if I was using a PC, I should use:
import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="/path/to/file.json"
And add on the Environment Variables on my computer a new variable under system variables %GOOGLE_APPLICATION_CREDENTIALS% .
But, since I'm using a jupyter notebook, I'm having difficult on setting the authentication of the API (I don't know how to set the environment variables of the JSON key on it).
How could I do it with this code in a Jupyter notebook?
python google-api jupyter-notebook google-cloud-automl
asked Nov 24 '18 at 19:31
craftApprenticecraftApprentice
84183772
I created a simple Google AutoML Natural Language model, following Google's Tutorial (https://cloud.google.com/natural-language/automl/docs/tutorial).
Now, I would like to use the API of this model in a function written in this simple jupyter notebook.
To set the API credentials, if I was using a PC, I should use:
import os
os.environ["GOOGLE_APPLICATION_CREDENTIALS"]="/path/to/file.json"
And add on the Environment Variables on my computer a new variable under system variables %GOOGLE_APPLICATION_CREDENTIALS% .
But, since I'm using a jupyter notebook, I'm having difficult on setting the authentication of the API (I don't know how to set the environment variables of the JSON key on it).
How could I do it with this code in a Jupyter notebook?
python google-api jupyter-notebook google-cloud-automl
python google-api jupyter-notebook google-cloud-automl
asked Nov 24 '18 at 19:31
craftApprenticecraftApprentice
84183772
asked Nov 24 '18 at 19:31
craftApprenticecraftApprentice
84183772
asked Nov 24 '18 at 19:31
craftApprenticecraftApprentice
84183772
asked Nov 24 '18 at 19:31
craftApprenticecraftApprentice
84183772
asked Nov 24 '18 at 19:31
craftApprenticecraftApprentice
84183772
84183772
add a comment |
add a comment |
1 Answer
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The os trick you used is a good hack, which based on Google's suggestions at the time of writing (ref1, ref2, ref3). However it is possible to add the credentials explicitly in code, as explain here (without AutoML example).
For setting AutoML credentials explicitly in code, use this one line when defining the prediction class instance. Then the 'os' hack can be avoided:
prediction_client = automl_v1beta1.PredictionServiceClient.from_service_account_json("/path/to/file.json")
answered Nov 26 '18 at 18:11
Ran FeldeshRan Feldesh
409
add a comment |
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1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
The os trick you used is a good hack, which based on Google's suggestions at the time of writing (ref1, ref2, ref3). However it is possible to add the credentials explicitly in code, as explain here (without AutoML example).
For setting AutoML credentials explicitly in code, use this one line when defining the prediction class instance. Then the 'os' hack can be avoided:
prediction_client = automl_v1beta1.PredictionServiceClient.from_service_account_json("/path/to/file.json")
answered Nov 26 '18 at 18:11
Ran FeldeshRan Feldesh
409
add a comment |
The os trick you used is a good hack, which based on Google's suggestions at the time of writing (ref1, ref2, ref3). However it is possible to add the credentials explicitly in code, as explain here (without AutoML example).
For setting AutoML credentials explicitly in code, use this one line when defining the prediction class instance. Then the 'os' hack can be avoided:
prediction_client = automl_v1beta1.PredictionServiceClient.from_service_account_json("/path/to/file.json")
answered Nov 26 '18 at 18:11
Ran FeldeshRan Feldesh
409
add a comment |
The os trick you used is a good hack, which based on Google's suggestions at the time of writing (ref1, ref2, ref3). However it is possible to add the credentials explicitly in code, as explain here (without AutoML example).
For setting AutoML credentials explicitly in code, use this one line when defining the prediction class instance. Then the 'os' hack can be avoided:
prediction_client = automl_v1beta1.PredictionServiceClient.from_service_account_json("/path/to/file.json")
answered Nov 26 '18 at 18:11
Ran FeldeshRan Feldesh
409
The os trick you used is a good hack, which based on Google's suggestions at the time of writing (ref1, ref2, ref3). However it is possible to add the credentials explicitly in code, as explain here (without AutoML example).
For setting AutoML credentials explicitly in code, use this one line when defining the prediction class instance. Then the 'os' hack can be avoided:
prediction_client = automl_v1beta1.PredictionServiceClient.from_service_account_json("/path/to/file.json")
answered Nov 26 '18 at 18:11
Ran FeldeshRan Feldesh
409
answered Nov 26 '18 at 18:11
Ran FeldeshRan Feldesh
409
answered Nov 26 '18 at 18:11
Ran FeldeshRan Feldesh
409
answered Nov 26 '18 at 18:11
Ran FeldeshRan Feldesh
409
409
add a comment |
add a comment |
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