Text similarity

This task calculates the similarity between two texts.

Description

The task offers a powerful solution for calculating the similarity between two texts. Whether you're working on clustering, sentinel analysis, or classification tasks, this tool provides valuable insights into the likeness of two given texts.

Applications

• Clustering: Group similar texts together for better organization and analysis.

• Sentiment Analysis: Understand sentiments by comparing text similarities.

• Text Classification: Aid in categorizing and organizing texts efficiently.

How to use the task

Input the two texts that you wish to compare.
Click the "Run Task" button.
Instantly, you'll receive a similarity score that quantifies how closely related the two texts are.

Privacy

Please do not use any sensitive input.

[1.0.0]:

First version

Version	AI Model	Created	Link
1.0.0	openai	30.07.2023

API

The REST API allows you to call the tool with the same costs as when running the tool. Please generate an Personal access token before using the REST API.

Parameters

input_0 (Input 0): The first input that is used to compare the two inputs.
model (Embedding model): Defines the embedding model
input_1 (Input 1): The second input that is used to compare the two inputs.

Call the REST API by cURL

curl -v -H "Authorization: Bearer PERSONAL_ACCESS_TOKEN" https://api.anysolve.ai/rest/v1/intern-embeddings-text-similarity/1.0.0?input_0=I%20like%20to%20go%20sailing.&model=text-embedding-ada-002&input_1=I%20like%20going%20to%20the%20cinema.

Install the package with pip
python3 -m pip install anysolve

Run in python3

import os
from anysolve import AnySolve

anysolve_token = os.environ.get('ANYSOLVE_PERSONAL_ACCESS_TOKEN') # Resolve your personal access token here
client = AnySolve(anysolve_token)
res = client.run('intern-embeddings-text-similarity','1.0.0', {'input_0': 'I like to go sailing.', 'model': 'text-embedding-ada-002', 'input_1': 'I like going to the cinema.'})

print(res)

Coming soon: Within AnySolve ChatComplete prompts you can use the following command to execute the task:
/run('intern-embeddings-text-similarity','1.0.0', input_0='I like to go sailing.', model='text-embedding-ada-002', input_1='I like going to the cinema.')

Task infos

Author: AnySolve

Status: Published

Version: 1.0.0

Runs: 10 times

Favorites: 0

Average costs: 2 Credits (0.002 EUR)

Created: 30.07.2023

Recommended Tools

Text similarity

Input