import gradio as gr
import os

def process_input(text_input, speaker_audio, speaker_name, option_selected):
    if speaker_audio is None or speaker_name.strip() == "":
        return "Please provide a valid audio file and speaker name."

    # Save speaker audio under the name of the speaker
    speaker_audio_path = f"{speaker_name}.wav"
    speaker_audio.save(speaker_audio_path)

    # Placeholder for generating the output audio
    output_audio_path = f"generated_{speaker_name}.wav"

    # Assuming some TTS or cloning process here
    # Generate and save the output audio
    # Replace this with your actual processing logic
    with open(output_audio_path, "wb") as f:
        f.write(b"Placeholder audio data")  # Replace with actual audio data

    return output_audio_path

# Gradio interface
with gr.Blocks() as demo:
    gr.Markdown("# Audio Cloning and Text-to-Speech")

    with gr.Row():
        text_input = gr.Textbox(label="Input Text", placeholder="Enter your text here.")
    
    with gr.Row():
        speaker_audio = gr.Audio(label="Speaker Audio (to be cloned)",type='filepath', format='wav')
        speaker_name = gr.Textbox(label="Speaker Name", placeholder="Enter the speaker's name.")

    option_selected = gr.Dropdown(choices=["Option 1", "Option 2", "Option 3"], label="Select an Option")

    submit_btn = gr.Button("Submit")

    output_audio = gr.Audio(label="Generated Audio Output")

    submit_btn.click(
        process_input,
        inputs=[text_input, speaker_audio, speaker_name, option_selected],
        outputs=output_audio,
    )

# Launch the Gradio app
demo.launch()