import gradio as gr
import os
import shutil
import subprocess

# Declare the global variable
gradio_input_file = None

def process_ebook(ebook_file):
    import nltk
    nltk.download('averaged_perceptron_tagger_eng')
    nltk.download('punkt_tab')
    #download the en_core_web_sm spacy model
    subprocess.run(["python", "-m", "spacy", "download", "en_core_web_sm"])
    global gradio_input_file  # Use the global variable to store the ebook file path

    # Create input_files directory if it doesn't exist
    input_dir = "input_files"
    if not os.path.exists(input_dir):
        os.mkdir(input_dir)

    # Copy the uploaded file to input_files folder
    input_file_path = os.path.join(input_dir, os.path.basename(ebook_file))
    shutil.copy(ebook_file, input_file_path)

    # Set the file path to the global variable
    gradio_input_file = input_file_path
    
    # Print the name of the uploaded file
    ebook_file_name = os.path.basename(ebook_file)
    print(f"Uploaded file: {ebook_file_name}")

    # Call the Auto_VoxNovel.py script and pass the file path as an argument
    try:
        process = subprocess.Popen(
            ["python3", "Auto_VoxNovel.py", gradio_input_file],  # Pass gradio_input_file as an argument
            stdout=subprocess.PIPE,
            stderr=subprocess.STDOUT,
            text=True
        )

        # Print output in real-time
        for line in process.stdout:
            print(line, end='')

        process.wait()

        if process.returncode == 0:
            return f"Audiobook is ready! You can now download your files."
        else:
            return "Error occurred during audiobook processing."
    except Exception as e:
        return f"Failed to run audiobook script: {str(e)}"


def list_output_files():
    # List all files in the output directory for downloading
    output_dir = "output_audiobooks"
    if os.path.exists(output_dir):
        files = [
            os.path.join(output_dir, f)
            for f in os.listdir(output_dir)
            if os.path.isfile(os.path.join(output_dir, f))
        ]
        return files
    return []

# Gradio Interface
with gr.Blocks() as gui:
    gr.Markdown("### Ebook to Audiobook Converter")

    with gr.Row():
        with gr.Column():
            ebook_input = gr.File(
                label="Upload your ebook file (epub, pdf, etc.)",
                type='filepath'  # Specify that we want the file path
            )
            process_button = gr.Button("Start Processing")
            status_output = gr.Textbox(label="Status")
            process_button.click(process_ebook, inputs=ebook_input, outputs=status_output)

        with gr.Column():
            gr.Markdown("### Download Generated Audiobook Files")
            download_button = gr.Button("Reload Files")
            file_output = gr.Files(
                label="Generated Audiobook Files",
                type='filepath'  # Use 'filepath' type for gr.Files component
            )

            # Update the file_output component with the list of output files
            def update_output_files():
                files = list_output_files()
                return files

            download_button.click(fn=update_output_files, inputs=[], outputs=file_output)

gui.launch()