Text Similarity API

Text Similarity is a simple tool for checking the similarity between two texts. It returns the similarity score.

This is a Python API Wrapper for the Text Similarity API

Installation

Using pip:

pip install apiverve-textsimilarity

Using pip3:

pip3 install apiverve-textsimilarity

Configuration

Before using the textsimilarity API client, you have to setup your account and obtain your API Key. You can get it by signing up at https://apiverve.com

Quick Start

Here's a simple example to get you started quickly:

from apiverve_textsimilarity.apiClient import TextsimilarityAPIClient

# Initialize the client with your APIVerve API key
api = TextsimilarityAPIClient("[YOUR_API_KEY]")

query = {
    "text1": "I'm so excited that tomorrow is going to be sunny! Can't wait!",
    "text2": "We're pretty excited about the weather tomorrow. It's going to be sunny!"
}

try:
    # Make the API call
    result = api.execute(query)

    # Print the result
    print(result)
except Exception as e:
    print(f"Error: {e}")

Usage

The Text Similarity API documentation is found here: https://docs.apiverve.com/ref/textsimilarity. You can find parameters, example responses, and status codes documented here.

Setup

# Import the client module
from apiverve_textsimilarity.apiClient import TextsimilarityAPIClient

# Initialize the client with your APIVerve API key
api = TextsimilarityAPIClient("[YOUR_API_KEY]")

Perform Request

Using the API client, you can perform requests to the API.

Define Query

query = {
    "text1": "I'm so excited that tomorrow is going to be sunny! Can't wait!",
    "text2": "We're pretty excited about the weather tomorrow. It's going to be sunny!"
}

Simple Request

# Make a request to the API
result = api.execute(query)

# Print the result
print(result)

Example Response

{
  "status": "ok",
  "error": null,
  "data": {
    "simiarity": 45.83,
    "similarityCaseSensitive": 47.22,
    "difference": {
      "count": 7,
      "percentage": 58.33
    }
  }
}

Error Handling

The API client provides comprehensive error handling through the TextsimilarityAPIClientError exception. Here are some examples:

Basic Error Handling

from apiverve_textsimilarity.apiClient import TextsimilarityAPIClient, TextsimilarityAPIClientError

api = TextsimilarityAPIClient("[YOUR_API_KEY]")

query = {
    "text1": "I'm so excited that tomorrow is going to be sunny! Can't wait!",
    "text2": "We're pretty excited about the weather tomorrow. It's going to be sunny!"
}

try:
    result = api.execute(query)
    print("Success!")
    print(result)
except TextsimilarityAPIClientError as e:
    print(f"API Error: {e.message}")
    if e.status_code:
        print(f"Status Code: {e.status_code}")
    if e.response:
        print(f"Response: {e.response}")

Handling Specific Error Types

from apiverve_textsimilarity.apiClient import TextsimilarityAPIClient, TextsimilarityAPIClientError

api = TextsimilarityAPIClient("[YOUR_API_KEY]")

query = {
    "text1": "I'm so excited that tomorrow is going to be sunny! Can't wait!",
    "text2": "We're pretty excited about the weather tomorrow. It's going to be sunny!"
}

try:
    result = api.execute(query)

    # Check for successful response
    if result.get('status') == 'success':
        print("Request successful!")
        print(result.get('data'))
    else:
        print(f"API returned an error: {result.get('error')}")

except TextsimilarityAPIClientError as e:
    # Handle API client errors
    if e.status_code == 401:
        print("Unauthorized: Invalid API key")
    elif e.status_code == 429:
        print("Rate limit exceeded")
    elif e.status_code >= 500:
        print("Server error - please try again later")
    else:
        print(f"API error: {e.message}")
except Exception as e:
    # Handle unexpected errors
    print(f"Unexpected error: {str(e)}")

Using Context Manager (Recommended)

The client supports the context manager protocol for automatic resource cleanup:

from apiverve_textsimilarity.apiClient import TextsimilarityAPIClient, TextsimilarityAPIClientError

query = {
    "text1": "I'm so excited that tomorrow is going to be sunny! Can't wait!",
    "text2": "We're pretty excited about the weather tomorrow. It's going to be sunny!"
}

# Using context manager ensures proper cleanup
with TextsimilarityAPIClient("[YOUR_API_KEY]") as api:
    try:
        result = api.execute(query)
        print(result)
    except TextsimilarityAPIClientError as e:
        print(f"Error: {e.message}")
# Session is automatically closed here

Advanced Features

Debug Mode

Enable debug logging to see detailed request and response information:

from apiverve_textsimilarity.apiClient import TextsimilarityAPIClient

# Enable debug mode
api = TextsimilarityAPIClient("[YOUR_API_KEY]", debug=True)

query = {
    "text1": "I'm so excited that tomorrow is going to be sunny! Can't wait!",
    "text2": "We're pretty excited about the weather tomorrow. It's going to be sunny!"
}

# Debug information will be printed to console
result = api.execute(query)

Manual Session Management

If you need to manually manage the session lifecycle:

from apiverve_textsimilarity.apiClient import TextsimilarityAPIClient

api = TextsimilarityAPIClient("[YOUR_API_KEY]")

query = {
    "text1": "I'm so excited that tomorrow is going to be sunny! Can't wait!",
    "text2": "We're pretty excited about the weather tomorrow. It's going to be sunny!"
}

try:
    result = api.execute(query)
    print(result)
finally:
    # Manually close the session when done
    api.close()

Customer Support

Need any assistance? Get in touch with Customer Support.

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Legal

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License

Licensed under the The MIT License (MIT)

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