Create Audio Separation

import requests

# Your API authentication
headers = {
    "x-api-key": "your-api-key",  # Replace with your actual API key
}

def create_audio_separation(media_file_path):
    """
    Submits a new audio separation task and returns the task ID for tracking.

    Parameters:
    - media_file_path: Path to the audio file you want to separate
    """
    try:
        # Prepare the multipart form data with the audio file
        files = {
            "media_file": (media_file_path.split('/')[-1], open(media_file_path, "rb"))
        }

        # Submit the separation request
        response = requests.post(
            "https://client.camb.ai/apis/audio-separation",
            headers=headers,
            files=files
        )

        # Verify the request was successful
        response.raise_for_status()

        # Extract the task ID from the response
        result = response.json()
        task_id = result.get("task_id")

        print(f"Audio separation task submitted successfully! Task ID: {task_id}")
        return task_id

    except requests.exceptions.RequestException as e:
        print(f"Error submitting audio separation task: {e}")
        if hasattr(e, 'response') and e.response is not None:
            print(f"Response content: {e.response.text}")
        return None

# Example usage
audio_path = "path/to/your/audio/file.mp3"
task_id = create_audio_separation(audio_path)

def check_separation_status(task_id):
    """
    Checks the status of an audio separation task.
    Returns the current status and any available result information.

    Parameters:
    - task_id: The ID of the separation task to check
    """
    if not task_id:
        print("No task ID provided.")
        return None

    try:
        response = requests.get(
            f"https://client.camb.ai/apis/audio-separation/{task_id}",
            headers=headers
        )

        # Verify the request was successful
        response.raise_for_status()

        # Parse the status information
        status_data = response.json()
        print(f"Current status: {status_data['status']}")

        # If the separation is complete, display the results
        if status_data['status'] == "SUCCESS":
            print("Audio separation completed successfully!")
            print(f"Foreground audio URL: {status_data.get('foreground_url')}")
            print(f"Background audio URL: {status_data.get('background_url')}")

        return status_data

    except requests.exceptions.RequestException as e:
        print(f"Error checking separation status: {e}")
        return None

# Check the status of your separation task
status_info = check_separation_status(task_id)