import gradio as gr
import numpy as np

class AudioProcessor:
    def __init__(self):
        self.sample_rate = 16000
    
    def process_audio(self, audio_input):
        # Return properly formatted audio data with closing parenthesis
        return (np.random.random(self.sample_rate * 3), self.sample_rate  # Fixed missing parenthesis

def create_interface():
    processor = AudioProcessor()
    
    def process_audio(audio):
        try:
            audio_data, sr = processor.process_audio(audio)
            status = f"Success! Processed {len(audio_data)} samples at {sr}Hz"
            info = f"Audio length: {len(audio_data)/sr:.2f} seconds"
            return status, info  # Return exactly 2 values
        except Exception as e:
            return f"Error: {str(e)}", "No audio info available"  # Still 2 values on error
    
    with gr.Blocks() as demo:
        gr.Markdown("## Working Audio Processor")
        
        mic_input = gr.Audio(sources=["microphone"], type="filepath")
        process_btn = gr.Button("Process")
        
        with gr.Row():
            status_out = gr.Textbox(label="Status")
            info_out = gr.Textbox(label="Information")
        
        process_btn.click(
            fn=process_audio,
            inputs=[mic_input],
            outputs=[status_out, info_out]
        )
    
    return demo

if __name__ == "__main__":
    demo = create_interface()
    demo.launch()