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94e2186bb8
# What does this PR do?
[Provide a short summary of what this PR does and why. Link to relevant
issues if applicable.]
```
before:
$ llama
usage: llama [-h] {model,stack,download,verify-download} ...
Welcome to the Llama CLI
options:
-h, --help show this help message and exit
subcommands:
{model,stack,download,verify-download}
$ llama model --help
usage: llama model [-h] {download,list,prompt-format,describe,verify-download,remove} ...
Work with llama models
options:
-h, --help show this help message and exit
model_subcommands:
{download,list,prompt-format,describe,verify-download,remove}
$ llama stack --help
usage: llama stack [-h] [--version] {build,list-apis,list-providers,run} ...
Operations for the Llama Stack / Distributions
options:
-h, --help show this help message and exit
--version show program's version number and exit
stack_subcommands:
{build,list-apis,list-providers,run}
===================
after:
$ llama
usage: llama [-h] {model,stack,download,verify-download} ...
Welcome to the Llama CLI
options:
-h, --help show this help message and exit
subcommands:
{model,stack,download,verify-download}
model Work with llama models
stack Operations for the Llama Stack / Distributions
download Download a model from llama.meta.com or Hugging Face Hub
verify-download Verify integrity of downloaded model files
$ llama model --help
usage: llama model [-h] {download,list,prompt-format,describe,verify-download,remove} ...
Work with llama models
options:
-h, --help show this help message and exit
model_subcommands:
{download,list,prompt-format,describe,verify-download,remove}
download Download a model from llama.meta.com or Hugging Face Hub
list Show available llama models
prompt-format Show llama model message formats
describe Show details about a llama model
verify-download Verify the downloaded checkpoints' checksums for models downloaded from Meta
remove Remove the downloaded llama model
$ llama stack --help
usage: llama stack [-h] [--version] {build,list-apis,list-providers,run} ...
Operations for the Llama Stack / Distributions
options:
-h, --help show this help message and exit
--version show program's version number and exit
stack_subcommands:
{build,list-apis,list-providers,run}
build Build a Llama stack container
list-apis List APIs part of the Llama Stack implementation
list-providers Show available Llama Stack Providers for an API
run Start the server for a Llama Stack Distribution. You should have already built (or downloaded) and configured the distribution.
```
[//]: # (If resolving an issue, uncomment and update the line below)
[//]: # (Closes #[issue-number])
## Test Plan
[Describe the tests you ran to verify your changes with result
summaries. *Provide clear instructions so the plan can be easily
re-executed.*]
[//]: # (## Documentation)
---------
Signed-off-by: reidliu <reid201711@gmail.com>
Co-authored-by: reidliu <reid201711@gmail.com>
54 lines
1.4 KiB
Python
54 lines
1.4 KiB
Python
# Copyright (c) Meta Platforms, Inc. and affiliates.
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# All rights reserved.
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#
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# This source code is licensed under the terms described in the LICENSE file in
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# the root directory of this source tree.
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import argparse
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from .download import Download
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from .model import ModelParser
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from .stack import StackParser
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from .utils import print_subcommand_description
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from .verify_download import VerifyDownload
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class LlamaCLIParser:
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"""Defines CLI parser for Llama CLI"""
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def __init__(self):
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self.parser = argparse.ArgumentParser(
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prog="llama",
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description="Welcome to the Llama CLI",
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add_help=True,
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formatter_class=argparse.RawTextHelpFormatter,
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)
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# Default command is to print help
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self.parser.set_defaults(func=lambda args: self.parser.print_help())
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subparsers = self.parser.add_subparsers(title="subcommands")
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# Add sub-commands
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ModelParser.create(subparsers)
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StackParser.create(subparsers)
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Download.create(subparsers)
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VerifyDownload.create(subparsers)
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print_subcommand_description(self.parser, subparsers)
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def parse_args(self) -> argparse.Namespace:
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return self.parser.parse_args()
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def run(self, args: argparse.Namespace) -> None:
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args.func(args)
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def main():
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parser = LlamaCLIParser()
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args = parser.parse_args()
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parser.run(args)
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if __name__ == "__main__":
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main()
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