import numpy as np
import scipy.signal
import matplotlib.pyplot as plt
import gradio as gr

def dummy_sstv_decode(audio_data, sample_rate):
    """
    A placeholder function for decoding SSTV signals.
    For a real decoder, you would process the audio_data to extract image information.
    """
    # In a real implementation, you'd process the audio to extract an image.
    # Here, we just return a blank image for demonstration purposes.
    image = np.zeros((256, 320, 3), dtype=np.uint8)
    return image

def sstv_decoder(audio_file):
    # Load the audio file
    sample_rate, audio_data = scipy.io.wavfile.read(audio_file.name)
    
    # Decode the SSTV signal (Dummy Function)
    image = dummy_sstv_decode(audio_data, sample_rate)

    # Display the image
    plt.imshow(image)
    plt.axis('off')
    plt.show()

    return image

# Set up Gradio interface
iface = gr.Interface(
    fn=sstv_decoder, 
    inputs=gr.Audio(source="upload", type="filepath"), 
    outputs="image",
    title="SSTV Decoder",
    description="Upload an audio file with an SSTV signal to decode it into an image.",
)

# Launch the interface
iface.launch()