import gradio as gr

gr.load("models/suno/bark").launch()

def tts_synthesis(text_input):
    # Perform TTS synthesis using your model on the input text
    # Replace the following line with your actual TTS synthesis code
    synthesized_audio = f"Audio for: {text_input}"

    return synthesized_audio

def bark_detection(audio_input):
    # Perform bark detection using the provided model
    # Replace the following line with your actual bark detection code
    bark_result = f"Bark detected: {audio_input}"

    return bark_result

# Create a Gradio interface for TTS synthesis
tts_interface = gr.Interface(
    fn=tts_synthesis,
    inputs="text",
    outputs="audio",
    live=True,
    interpretation="default",
    title="Text-to-Speech Synthesis",
    description="Enter text, and the model will generate synthesized audio.",
)

# Create a Gradio interface for bark detection
bark_interface = gr.Interface(
    fn=bark_detection,
    inputs="microphone",
    outputs="text",
    live=True,
    interpretation="default",
    title="Bark Detection",
    description="Speak into the microphone to detect barking.",
)

# Launch both interfaces
tts_interface.launch()
bark_interface.launch()