/get_embedding - Siyabasa Docs \ Remeinium

Python
Javascript
cURL

Python example:

from gradio_client import Client

client = Client("Remeinium/Embedding_Siyabasa")
result = client.predict(
    word="අම්මා",
    api_name="/get_embedding"
)
print(json.dumps(result, indent=4))

Install the javascript client (gradio docs) if you don’t already have it installed.

$ npm i -D @gradio/client

Here’s your first API call.

import { Client } from "@gradio/client";
	
	const client = await Client.connect("Remeinium/Embedding_Siyabasa");
	const result = await client.predict("/get_embedding", { 		
			word: "අම්මා", 
	});

	console.log(result.data);

Confirm that you have cURL installed on your system.

$ curl --version

Your first API call

curl -X POST https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/get_embedding -s -H "Content-Type: application/json" -d '{
	"data": ["අම්මා"]}' \
	| awk -F'"' '{ print $4}'  \
	| read EVENT_ID; curl -N https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/get_embedding/$EVENT_ID

Response format:

{
    "text": "අම්මා",
    "embedding": [0.123, -0.456, 0.789, ...],
    "dimensions": 300,
    "model": "UgannA_SiyabasaV2",
    "language": "Sinhala"
}

Accepts 1 parameter:

word : string *Required
The input value that is provided in the “Sinhala Word” Textbox component.

Returns 1 element

str | float | bool | list | dict
The output value that appears in the “Embedding Vector” Json component.