/nearest_neighbors - Embedding Siyabasa Docs

Accepts 2 parameters:
Returns 1 element

Python
Javascript
cURL

Python example:

from gradio_client import Client

client = Client("Remeinium/Embedding_Siyabasa")
result = client.predict(
    word="පෞරාණික",
    top_k=5,
    api_name="/nearest_neighbors"
)
print(json.dumps(result, indent=4))

Response format:

{
    "query": "පෞරාණික",
    "neighbors": [
        {"word": "ඉපැරණි", "similarity": 0.755...},
        {"word": "පුරාවිද්යාත්මක", "similarity": 0.749...},
        ...
    ],
    "model": "UgannA_SiyabasaV2"
}

import { Client } from "@gradio/client";
	
	const client = await Client.connect("Remeinium/Embedding_Siyabasa");
	const result = await client.predict("/nearest_neighbors", { 		
			word: "පෞරාණික", 		
			top_k: 5, 
	});

	console.log(result.data);
	

curl -X POST https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/nearest_neighbors -s -H "Content-Type: application/json" -d '{
	"data": ["පෞරාණික",5]}' \
	| awk -F'"' '{ print $4}'  \
	| read EVENT_ID; curl -N https://remeinium-embedding-siyabasa.hf.space/gradio_api/call/nearest_neighbors/$EVENT_ID

Accepts 2 parameters:

word : str *Required
The input value that is provided in the “Query Word” Textbox component.
top_k : float Default: 10
The input value that is provided in the “Number of Results” Slider component.

Returns 1 element

str | float | bool | list | dict

The output value that appears in the “Similar Words” Json component.

/word_similarity

/sentence_embedding

⌘I