test_model.py

import os
import torch
import torchaudio
# import spaces
from generator import Segment, load_csm_1b
from huggingface_hub import login

def login_huggingface():
    """Login to Hugging Face Hub using token from environment variable or user input"""
    hf_token = os.environ.get("HF_TOKEN")
    
    if not hf_token:
        print("HF_TOKEN not found in environment variables.")
        hf_token = input("Please enter your Hugging Face token: ")
    
    if hf_token:
        print("Logging in to Hugging Face Hub...")
        login(token=hf_token)
        print("Login successful!")
        return True
    else:
        print("No token provided. Some models may not be accessible.")
        return False

# @spaces.GPU
def generate_test_audio(text, speaker_id, device):
    """Generate test audio using ZeroGPU"""
    generator = load_csm_1b(device=device)
    print("Model loaded successfully!")
    
    print(f"Generating audio for text: '{text}'")
    audio = generator.generate(
        text=text,
        speaker=speaker_id,
        context=[],
        max_audio_length_ms=10000,
        temperature=0.9,
        topk=50
    )
    
    return audio, generator.sample_rate

def test_model():
    print("Testing CSM-1B model...")
    
    # Login to Hugging Face Hub
    login_huggingface()
    
    # Check if GPU is available and configure the device
    device = "cuda" if torch.cuda.is_available() else "cpu"
    print(f"Using device: {device}")
    
    # Load CSM-1B model and generate audio
    print("Loading CSM-1B model...")
    try:
        # Use ZeroGPU to generate audio
        text = "Hello, this is a test of the CSM-1B model."
        speaker_id = 0
        
        audio, sample_rate = generate_test_audio(text, speaker_id, device)
        
        # Save audio to file
        output_path = "test_output.wav"
        torchaudio.save(output_path, audio.unsqueeze(0), sample_rate)
        print(f"Audio saved to file: {output_path}")
        
        print("Test completed!")
    except Exception as e:
        print(f"Error testing model: {e}")
        print("Please check your token and access permissions.")

if __name__ == "__main__":
    test_model()