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

# Function to convert an image to an audio signal
def image_to_audio(image):
    # Convert the image to grayscale
    gray_image = np.dot(image[..., :3], [0.2989, 0.5870, 0.1140])
    # Normalize the grayscale image to the range [0, 1]
    normalized_image = gray_image / 255.0
    # Convert the normalized image to a 1D array
    audio_signal = normalized_image.flatten()
    # Generate a sample rate
    sample_rate = 44100
    # Return the audio signal and sample rate
    return (sample_rate, audio_signal)

# Create a Gradio interface
with gr.Blocks() as demo:
    # Input component for the image
    input_image = gr.Image(label="Input Image")
    # Output component for the audio
    output_audio = gr.Audio(label="Output Audio", streaming=True, autoplay=True)
    
    # Set up the event listener to convert the image to audio
    input_image.change(image_to_audio, inputs=input_image, outputs=output_audio)

# Launch the interface
demo.launch(show_error=True)