# API Documentation for `Lenylvt/Whisper_Timestamps_Remover-API`
This guide provides instructions for interacting with the Whisper Timestamps Remover API using Python and JavaScript.

## API Endpoint

This API is accessible via the `gradio_client` Python library [docs](https://www.gradio.app/guides/getting-started-with-the-python-client) or the `@gradio/client` JavaScript package [docs](https://www.gradio.app/guides/getting-started-with-the-js-client).

## Python Usage

### Step 1: Installation

Ensure you have the `gradio_client` library installed before proceeding.

```python
pip install gradio_client
```

### Step 2: Making a Request

Find the API endpoint relevant to the function you're interested in. Replace the placeholders in the code snippet below with your specific input data. If accessing a private Space, your Hugging Face token may be required.

**API Name**: `/predict`

```python
from gradio_client import Client

client = Client("Lenylvt/Whisper_Timestamps_Remover-API")
result = client.predict(
    "Hello!!",  # Input text as a string in 'text' Textbox component
    api_name="/predict"
)
print(result)
```

**Return Type(s):**

- A `str` representing the processed output in the 'output' Textbox component.

## JavaScript Usage

### Step 1: Installation

First, make sure the `@gradio/client` package is installed in your project.

```bash
npm i -D @gradio/client
```

### Step 2: Making a Request

As in Python, locate the API endpoint for the functionality you need. Replace the placeholders with your data. Include your Hugging Face token if accessing a private Space.

**API Name**: `/predict`

```javascript
import { client } from "@gradio/client";

const app = await client("Lenylvt/Whisper_Timestamps_Remover-API");
const result = await app.predict("/predict", [
    "Hello!!",  // Input text as a string in 'text' Textbox component
]);

console.log(result.data);
```

**Return Type(s):**

- A `string` representing the processed output in the 'output' Textbox component.