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Add /fine-tunes closed beta endpoint to the CLI #5

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Merged
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Mar 4, 2021
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Merged

Add /fine-tunes closed beta endpoint to the CLI #5

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1 change: 1 addition & 0 deletions .gitignore
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Expand Up @@ -2,3 +2,4 @@
__pycache__
/public/dist
.idea
.python-version
1 change: 1 addition & 0 deletions openai/api_resources/__init__.py
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Expand Up @@ -10,3 +10,4 @@
from openai.api_resources.snapshot import Snapshot
from openai.api_resources.tag import Tag
from openai.api_resources.update import Update
from openai.api_resources.fine_tune import FineTune
21 changes: 21 additions & 0 deletions openai/api_resources/fine_tune.py
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from openai.api_resources.abstract import (
ListableAPIResource,
CreateableAPIResource,
nested_resource_class_methods,
)
from openai.six.moves.urllib.parse import quote_plus
from openai import util


@nested_resource_class_methods("event", operations=["list"])
class FineTune(ListableAPIResource, CreateableAPIResource):
OBJECT_NAME = "fine-tune"

@classmethod
def cancel(cls, id, api_key=None, request_id=None, **params):
base = cls.class_url()
extn = quote_plus(id)
url = "%s/%s/cancel" % (base, extn)
instance = cls(id, api_key, **params)
headers = util.populate_headers(request_id=request_id)
return instance.request("post", url, headers=headers)
71 changes: 71 additions & 0 deletions openai/cli.py
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Expand Up @@ -195,6 +195,50 @@ def list(cls, args):
print(tags)


class FineTuneCLI:
@classmethod
def list(cls, args):
resp = openai.FineTune.list()
print(resp)

@classmethod
def create(cls, args):
create_args = {
"train_file": args.train_file,
}
if args.test_file:
create_args["test_file"] = args.test_file
if args.base_model:
create_args["base_model"] = args.base_model
if args.hparams:
try:
hparams = json.loads(args.hparams)
except json.decoder.JSONDecodeError:
sys.stderr.write(
"--hparams must be JSON decodable and match the hyperparameter arguments of the API"
)
sys.exit(1)
create_args.update(hparams)

resp = openai.FineTune.create(**create_args)
print(resp)

@classmethod
def get(cls, args):
resp = openai.FineTune.retrieve(id=args.id)
print(resp)

@classmethod
def events(cls, args):
resp = openai.FineTune.list_events(id=args.id)
print(resp)

@classmethod
def cancel(cls, args):
resp = openai.FineTune.cancel(id=args.id)
print(resp)


def register(parser):
# Engine management
subparsers = parser.add_subparsers(help="All API subcommands")
Expand Down Expand Up @@ -379,3 +423,30 @@ def help(args):

sub = subparsers.add_parser("tags.list")
sub.set_defaults(func=Tag.list)

# /fine-tunes API
sub = subparsers.add_parser("fine_tunes.list")
sub.set_defaults(func=FineTuneCLI.list)

sub = subparsers.add_parser("fine_tunes.create")
sub.add_argument("-t", "--train_file", required=True, help="File to train")
sub.add_argument("--test_file", help="File to test")
sub.add_argument(
"-b",
"--base_model",
help="The model name to start the run from",
)
sub.add_argument("-p", "--hparams", help="Hyperparameter JSON")
sub.set_defaults(func=FineTuneCLI.create)

sub = subparsers.add_parser("fine_tunes.get")
sub.add_argument("-i", "--id", required=True, help="The id of the fine-tune job")
sub.set_defaults(func=FineTuneCLI.get)

sub = subparsers.add_parser("fine_tunes.events")
sub.add_argument("-i", "--id", required=True, help="The id of the fine-tune job")
sub.set_defaults(func=FineTuneCLI.events)

sub = subparsers.add_parser("fine_tunes.cancel")
sub.add_argument("-i", "--id", required=True, help="The id of the fine-tune job")
sub.set_defaults(func=FineTuneCLI.cancel)
2 changes: 1 addition & 1 deletion openai/version.py
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VERSION = "0.3.0"
VERSION = "0.4.0"
2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -16,7 +16,7 @@
'requests >= 2.20; python_version >= "3.0"',
'requests[security] >= 2.20; python_version < "3.0"',
],
extras_require={},
extras_require={"dev": ["black==20.8b1", "pytest==6.*"]},
python_requires=">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*",
scripts=["bin/openai"],
packages=find_packages(exclude=["tests", "tests.*"]),
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