# TorchServe Python Client
<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->
## Install
``` sh
pip install torchserve_client
```
## Usage
Using `torchserve_client` is a breeze! It has support for both REST APIs
and gRPC APIs.
### REST Client
To make calls to REST endpoint, simply initialize a
[`TorchServeClientREST`](https://Ankur-singh.github.io/torchserve_client/rest.html#torchserveclientrest)
object as shown below:
``` python
from torchserve_client import TorchServeClientREST
# Initialize the REST TorchServeClient object
ts_client = TorchServeClientREST()
ts_client
```
TorchServeClient(base_url=http://localhost, management_port=8081, inference_port=8080)
If you wish to customize the *base URL*, *management port*, or
*inference port* of your TorchServe server, you can pass them as
arguments during initialization:
``` python
from torchserve_client import TorchServeClientREST
# Customize the base URL, management port, and inference port
ts_client = TorchServeClientREST(base_url='http://your-torchserve-server.com',
management_port=8081, inference_port=8080)
ts_client
```
TorchServeClient(base_url=http://your-torchserve-server.com, management_port=8081, inference_port=8080)
### gRPC Client
To create a gRPC client, simply create a
[`TorchServeClientGRPC`](https://Ankur-singh.github.io/torchserve_client/grpc.html#torchserveclientgrpc)
object
``` python
from torchserve_client import TorchServeClientGRPC
# Initialize the gRPC TorchServeClient object
ts_client = TorchServeClientGRPC()
ts_client
```
TorchServeClientGRPC(base_url=localhost, management_port=7071, inference_port=7070)
To customize base URL and default ports, pass them as arguments during
initialization
``` python
from torchserve_client import TorchServeClientGRPC
# Initialize the gRPC TorchServeClient object
ts_client = TorchServeClientGRPC(base_url='http://your-torchserve-server.com',
management_port=7071, inference_port=7070)
ts_client
```
TorchServeClientGRPC(base_url=your-torchserve-server.com, management_port=7071, inference_port=7070)
With these intuitive APIs at your disposal, you can harness the full
power of the Management and Inference API and take your application to
next level. Happy inferencing! 🚀🔥
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"description": "# TorchServe Python Client\n\n<!-- WARNING: THIS FILE WAS AUTOGENERATED! DO NOT EDIT! -->\n\n## Install\n\n``` sh\npip install torchserve_client\n```\n\n## Usage\n\nUsing `torchserve_client` is a breeze! It has support for both REST APIs\nand gRPC APIs.\n\n### REST Client\n\nTo make calls to REST endpoint, simply initialize a\n[`TorchServeClientREST`](https://Ankur-singh.github.io/torchserve_client/rest.html#torchserveclientrest)\nobject as shown below:\n\n``` python\nfrom torchserve_client import TorchServeClientREST\n\n# Initialize the REST TorchServeClient object\nts_client = TorchServeClientREST()\nts_client\n```\n\n TorchServeClient(base_url=http://localhost, management_port=8081, inference_port=8080)\n\nIf you wish to customize the *base URL*, *management port*, or\n*inference port* of your TorchServe server, you can pass them as\narguments during initialization:\n\n``` python\nfrom torchserve_client import TorchServeClientREST\n\n# Customize the base URL, management port, and inference port\nts_client = TorchServeClientREST(base_url='http://your-torchserve-server.com', \n management_port=8081, inference_port=8080)\nts_client\n```\n\n TorchServeClient(base_url=http://your-torchserve-server.com, management_port=8081, inference_port=8080)\n\n### gRPC Client\n\nTo create a gRPC client, simply create a\n[`TorchServeClientGRPC`](https://Ankur-singh.github.io/torchserve_client/grpc.html#torchserveclientgrpc)\nobject\n\n``` python\nfrom torchserve_client import TorchServeClientGRPC\n\n# Initialize the gRPC TorchServeClient object\nts_client = TorchServeClientGRPC()\nts_client\n```\n\n TorchServeClientGRPC(base_url=localhost, management_port=7071, inference_port=7070)\n\nTo customize base URL and default ports, pass them as arguments during\ninitialization\n\n``` python\nfrom torchserve_client import TorchServeClientGRPC\n\n# Initialize the gRPC TorchServeClient object\nts_client = TorchServeClientGRPC(base_url='http://your-torchserve-server.com', \n management_port=7071, inference_port=7070)\nts_client\n```\n\n TorchServeClientGRPC(base_url=your-torchserve-server.com, management_port=7071, inference_port=7070)\n\nWith these intuitive APIs at your disposal, you can harness the full\npower of the Management and Inference API and take your application to\nnext level. Happy inferencing! \ud83d\ude80\ud83d\udd25\n",
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