Python SDK for FluentC Translation API
Project description
FluentC Python SDK
A lightweight Python SDK for interacting with the FluentC Translation API — an AI-powered translation and language detection service designed for real-time, batch, and multilingual content workflows.
🚀 Installation
pip install fluentc-sdk
🔐 Authentication
All API requests require an API key (your Site UUID). You can obtain your API key from your FluentC dashboard.
from fluentc_sdk import FluentCClient
client = FluentCClient(api_key="your-site-uuid")
⚡ Quickstart
Translate Text
result = client.translate(
input_text="Hello, how are you?",
input_format="text",
target_language="es",
source_language="en",
mode="real-time"
)
print(result["translation"])
Detect Language
lang = client.detect_language(input_text="Bonjour tout le monde", input_format="text")
print(lang)
Get Available Languages
langs = client.get_languages()
print(langs)
Get Batch Translation Results
result = client.get_results(job_id="abc123jobid456")
print(result)
📘 API Methods
| Method | Description |
|---|---|
translate() |
Translate text or HTML content, in real-time or batch mode |
detect_language() |
Auto-detect language of text or HTML |
get_results() |
Retrieve batch translation results using job ID |
get_languages() |
List available target and source languages |
❗ Error Handling
All API errors raise FluentCAPIError. Example:
from fluentc_sdk.exceptions import FluentCAPIError
try:
client.translate("Hello", "text", "xx")
except FluentCAPIError as e:
print(f"Error: {e.message}")
🧪 Development
Install locally:
pip uninstall fluentc-sdk
pip install .
Build:
python setup.py sdist bdist_wheel
Publish:
twine upload dist/*
📄 License
MIT License
🔗 Useful Links
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