machine learning models
Project description
Modelz Python SDK
pip install modelz-py
CLI
modelz --help
Stable Diffusion
echo "cute cat" | modelz inference $PROJECT --serde msgpack --write-file cat.jpg --read-stdin
Gradio Client on Modelz Endpoints
We provide a lightweight Python library that makes it very easy to use any Gradio app served on modelz as an API. The functionalities of GradioClient
are completely identical to Client
in gradio_client
library provided by Gradio. The only difference is that when initializing the client, you should enter your Modelz serving endpoint URL instead of a Hugging Face space.
Example Usage
from modelz import GradioClient as Client
# Parameter here is the endpoint of your Modelz deployment
# The format is like https://${DEPOLOYMENT_KEY}.modelz.io/
cli = Client("https://translator-th85ze61tj4n3klc.modelz.io/")
cli.view_api()
# >> Client.predict() Usage Info
# ---------------------------
# Named API endpoints: 1
# - predict(text, api_name="/predict") -> output
# Parameters:
# - [Textbox] text: str
# Returns:
# - [Textbox] output: str
cli.predict("hallo", api_name="/predict")
# >> "Bonjour."
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