api_usage_example.py

"""
Example code for calling ACE-Music-Generator from another Hugging Face Space

This shows how to use the ACE-Music-Generator API from your podcast space
or any other Python application.
"""

from gradio_client import Client
import tempfile
import requests

# Method 1: Using Gradio Client (Recommended for Spaces)
def generate_music_from_space(
    duration=20,
    tags="edm, synth, bass, 128 bpm, energetic",
    lyrics="[instrumental]",
    space_name="ACloudCenter/ACE-Music-Generator"
):
    """
    Generate music using the ACE-Music-Generator space API
    
    Args:
        duration: Duration in seconds
        tags: Music style tags
        lyrics: Lyrics or [instrumental]
        space_name: Your Hugging Face space name
    
    Returns:
        audio_file_path: Path to downloaded audio file
    """
    try:
        # Connect to your space
        client = Client(space_name)
        
        # Call the generate function
        result = client.predict(
            duration,
            tags,
            lyrics,
            60,  # infer_steps
            15.0,  # guidance_scale
            api_name="/generate"
        )
        
        # Result is the path to the audio file
        return result
    except Exception as e:
        print(f"Error generating music: {e}")
        return None


# Method 2: Direct HTTP API call
def generate_music_http(
    duration=20,
    tags="edm, synth, bass, 128 bpm, energetic",
    lyrics="[instrumental]",
    space_url="https://acloudcenter-ace-music-generator.hf.space"
):
    """
    Generate music using direct HTTP API call
    
    Args:
        duration: Duration in seconds
        tags: Music style tags
        lyrics: Lyrics or [instrumental]
        space_url: Your space URL
    
    Returns:
        audio_file_path: Path to downloaded audio file
    """
    import json
    
    api_url = f"{space_url}/run/generate"
    
    payload = {
        "data": [
            duration,
            tags,
            lyrics,
            60,  # infer_steps
            15.0,  # guidance_scale
        ]
    }
    
    try:
        # Make the API call
        response = requests.post(api_url, json=payload)
        
        if response.status_code == 200:
            result = response.json()
            # Download the audio file
            audio_url = result["data"][0]["url"]
            
            # Save to temp file
            with tempfile.NamedTemporaryFile(suffix=".mp3", delete=False) as f:
                audio_response = requests.get(audio_url)
                f.write(audio_response.content)
                return f.name
        else:
            print(f"Error: {response.status_code}")
            return None
            
    except Exception as e:
        print(f"Error generating music: {e}")
        return None


# Example usage in your podcast generator
def add_background_music_to_podcast():
    """
    Example of how to use in your podcast space
    """
    
    # Generate a 20-second EDM track
    music_path = generate_music_from_space(
        duration=20,
        tags="edm, ambient, soft, background, 100 bpm, calm",
        lyrics="[instrumental]"
    )
    
    if music_path:
        print(f"Generated music saved to: {music_path}")
        # Now you can use this in your podcast generation
        # For example, mix it with your podcast audio
        return music_path
    else:
        print("Failed to generate music")
        return None


# Different music styles you can generate
MUSIC_STYLES = {
    "podcast_intro": "upbeat, electronic, professional, 120 bpm, energetic, modern",
    "podcast_outro": "calm, ambient, soft, 80 bpm, relaxing, fade out",
    "news_background": "minimal, electronic, subtle, 90 bpm, serious, professional",
    "commercial": "pop, upbeat, catchy, 128 bpm, happy, commercial",
    "dramatic": "orchestral, dramatic, cinematic, 100 bpm, intense, emotional",
    "tech": "electronic, futuristic, synth, 110 bpm, innovative, modern",
    "chill": "lofi, relaxed, warm, 75 bpm, cozy, background",
}


def generate_podcast_music(style="podcast_intro", duration=15):
    """
    Generate music for different podcast segments
    
    Args:
        style: One of the predefined styles
        duration: Duration in seconds
    
    Returns:
        audio_file_path: Path to generated audio
    """
    tags = MUSIC_STYLES.get(style, MUSIC_STYLES["podcast_intro"])
    
    return generate_music_from_space(
        duration=duration,
        tags=tags,
        lyrics="[instrumental]"
    )


if __name__ == "__main__":
    # Test the API
    print("Generating test music...")
    audio_file = generate_podcast_music(style="podcast_intro", duration=10)
    if audio_file:
        print(f"Success! Audio saved to: {audio_file}")
    else:
        print("Failed to generate audio")