> ## Documentation Index
> Fetch the complete documentation index at: https://docs.getvalenceai.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Upload file (Asynch)

> Send a file to Valence's system for emotional classification.

### Parameters

* `file_path` (string): Path to the audio file
* `partSize` (number, optional): Size of each part in bytes (default: 5MB, range: 1MB-100MB)
* `maxRetries` (number, optional): Maximum retry attempts (default: 3)

### Response

**Returns:** `RequestID [string]` - Request ID for tracking the upload

**Throws:** Error if file doesn't exist, API key missing, or upload fails

<Info>
  API Keys are included in the client constructor. Find more information on the client constructor [***here.***](/api-reference/introduction)
</Info>

### Usage

<CodeGroup>
  ```python Python theme={null}
  from valenceai import ValenceClient

  client = ValenceClient(show_progress=True)

  # Upload the audio file
  request_id = client.asynch.upload("YOUR_FILE.wav")
  ```

  ```javascript Javascript theme={null}
  import { ValenceClient } from 'valence-sdk';

  try {
    const client = new ValenceClient();
    
    // Upload the audio file
    const requestId = await client.asynch.upload('YOUR_FILE.wav');
    console.log('Upload complete. Request ID:', requestId);
  ```
</CodeGroup>