Language Detector API

Language Detector is a language detection API that identifies the language of any submitted text string. It returns the primary language, its ISO 639-1 code, and candidate matches ranked by confidence scores.

This is a Python wrapper for the Language Detector API

Installation

Using pip:

pip install apiverve-languagedetector

Using pip3:

pip3 install apiverve-languagedetector

Configuration

Before using the Language Detector 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_languagedetector.apiClient import LanguagedetectorAPIClient

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

query = { "text": "esta es una frase en español. esta API puede detectar fácilmente el idioma" }

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

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

Usage

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

Setup

# Import the client module
from apiverve_languagedetector.apiClient import LanguagedetectorAPIClient

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

Perform Request

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

Define Query

query = { "text": "esta es una frase en español. esta API puede detectar fácilmente el idioma" }

Simple Request

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

# Print the result
print(result)

Example Response

{
  "status": "ok",
  "error": null,
  "data": {
    "primaryLanguage": "spanish",
    "primaryCode": "es",
    "confidenceLevel": "medium",
    "detectedLanguages": [
      {
        "language": "spanish",
        "confidence": 0.38471794871794873,
        "code": "es"
      },
      {
        "language": "portuguese",
        "confidence": 0.2946153846153846,
        "code": "pt"
      },
      {
        "language": "danish",
        "confidence": 0.2464615384615384,
        "code": "da"
      }
    ]
  }
}

Error Handling

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

Basic Error Handling

from apiverve_languagedetector.apiClient import LanguagedetectorAPIClient, LanguagedetectorAPIClientError

api = LanguagedetectorAPIClient("[YOUR_API_KEY]")

query = { "text": "esta es una frase en español. esta API puede detectar fácilmente el idioma" }

try:
    result = api.execute(query)
    print("Success!")
    print(result)
except LanguagedetectorAPIClientError 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_languagedetector.apiClient import LanguagedetectorAPIClient, LanguagedetectorAPIClientError

api = LanguagedetectorAPIClient("[YOUR_API_KEY]")

query = { "text": "esta es una frase en español. esta API puede detectar fácilmente el idioma" }

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 LanguagedetectorAPIClientError 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_languagedetector.apiClient import LanguagedetectorAPIClient, LanguagedetectorAPIClientError

query = { "text": "esta es una frase en español. esta API puede detectar fácilmente el idioma" }

# Using context manager ensures proper cleanup
with LanguagedetectorAPIClient("[YOUR_API_KEY]") as api:
    try:
        result = api.execute(query)
        print(result)
    except LanguagedetectorAPIClientError 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_languagedetector.apiClient import LanguagedetectorAPIClient

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

query = { "text": "esta es una frase en español. esta API puede detectar fácilmente el idioma" }

# 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_languagedetector.apiClient import LanguagedetectorAPIClient

api = LanguagedetectorAPIClient("[YOUR_API_KEY]")

query = { "text": "esta es una frase en español. esta API puede detectar fácilmente el idioma" }

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 MIT License (MIT)

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