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Create Translator/API.md
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docs/Translator/API.md
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# API Documentation for `Lenylvt/Translator-API`
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This documentation explains how to interact with the Translator API using both Python and JavaScript.
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## API Endpoint
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To interact with this API, you have the option to use the `gradio_client` Python library or the `@gradio/client` JavaScript package.
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## Python Usage
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### Step 1: Installation
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First, install the `gradio_client` library if it's not already installed.
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```python
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pip install gradio_client
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```
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### Step 2: Making a Request
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Locate the API endpoint for the function you intend to use. Replace the placeholder values in the snippet below with your actual input data. If accessing a private Space, you may need to include your Hugging Face token.
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**API Name**: `/predict`
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```python
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from gradio_client import Client
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client = Client("Lenylvt/Translator-API")
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result = client.predict(
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"Hello!!", # str in 'text' Textbox component
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"en", # Source Language (ISO 639-1 code, e.g., 'en' for English) in 'Source Language' Dropdown component
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"es", # Target Language (ISO 639-1 code, e.g., 'es' for Spanish) in 'Target Language' Dropdown component
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api_name="/predict"
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)
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print(result)
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```
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**Return Type(s):**
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- A `str` representing the translated text output in the 'output' Textbox component.
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## JavaScript Usage
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### Step 1: Installation
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Install the `@gradio/client` package if it's not already in your project.
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```bash
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npm i -D @gradio/client
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```
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### Step 2: Making a Request
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As with Python, identify the API endpoint that matches your requirement. Replace the placeholders with your data. If this is a private Space, don't forget to include your Hugging Face token.
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**API Name**: `/predict`
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```javascript
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import { client } from "@gradio/client";
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const app = await client("Lenylvt/Translator-API");
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const result = await app.predict("/predict", [
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"Hello!!", // string in 'text' Textbox component
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"en", // string representing ISO 639-1 code for Source Language in 'Source Language' Dropdown component
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"es", // string representing ISO 639-1 code for Target Language in 'Target Language' Dropdown component
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]);
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console.log(result.data);
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```
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**Return Type(s):**
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- A `string` representing the translated text output in the 'output' Textbox component.
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