new_app.py

# Global variables for dropdown and checkbox
character_accent = None
use_narrator_voice_y_n = None

# List of languages for character accents
languages = ['en', 'es', 'fr', 'de', 'it', 'pt', 'pl', 'tr', 'ru', 'nl', 'cs', 'ar', 'zh-cn', 'hu', 'ko', 'ja', 'hi']

# Function to process the ebook and start the subprocess
def process_ebook(ebook_file, character_accent, use_narrator_voice_y_n, state):
    if not ebook_file:
        return "No file uploaded.", state

    # Pre-download the xtts TOS agreed file
    import download_tos_agreed_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"])

    # 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)

    # Print the name of the uploaded file
    ebook_file_name = os.path.basename(ebook_file)
    initial_output = f"Uploaded file: {ebook_file_name}\n"

    # Initialize state with subprocess info
    state = {
        "process": None,
        "output": initial_output,
        "lock": threading.Lock()
    }

    # Start the subprocess in a separate thread
    thread = threading.Thread(target=run_subprocess, args=(input_file_path, character_accent, use_narrator_voice_y_n, state), daemon=True)
    thread.start()

    return initial_output, state

# Function to run the subprocess and capture its output
def run_subprocess(input_file_path, character_accent, use_narrator_voice_y_n, state):
    try:
        # Start the subprocess with additional arguments
        process = subprocess.Popen(
            ["python3", "Headless_VoxNovel.py", input_file_path, character_accent, use_narrator_voice_y_n],
            stdin=subprocess.PIPE,
            stdout=subprocess.PIPE,
            stderr=subprocess.STDOUT,
            text=True,
            bufsize=1  # Line-buffered
        )

        with state["lock"]:
            state["process"] = process

        # Continuously read the subprocess output
        for line in iter(process.stdout.readline, ''):
            with state["lock"]:
                state["output"] += line
        process.stdout.close()
        process.wait()
        with state["lock"]:
            state["output"] += "\nProcess finished."
    except Exception as e:
        with state["lock"]:
            state["output"] += f"\nError: {str(e)}"

# 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
            )
            # Add dropdown for character accent
            accent_dropdown = gr.Dropdown(
                label="Character Accent",
                choices=languages,
                value="en"  # Default to English
            )

            # Add checkbox for narrator voice
            narrator_checkbox = gr.Checkbox(
                label="Use Narrator Voice for All",
                value=False  # Default is 'n' (false)
            )

            process_button = gr.Button("Start Processing")
            status_output = gr.Textbox(label="Status", lines=20)

            # Initialize state
            state = gr.State()

            # Start processing and update status in real-time
            process_button.click(
                process_ebook, 
                inputs=[ebook_input, accent_dropdown, narrator_checkbox, state], 
                outputs=[status_output, state]
            )

        with gr.Column():
            gr.Markdown("### Subprocess Input")

            # Textbox to allow user to send input to subprocess
            user_input_box = gr.Textbox(label="Send Input to Subprocess")
            submit_input_button = gr.Button("Submit Input")
            submit_input_button.click(
                send_input, 
                inputs=[user_input_box, state], 
                outputs=status_output  # Corrected to pass the actual Gradio component
            )

        with gr.Column():
            gr.Markdown("### Download Generated Audiobook Files")
            download_button = gr.Button("Reload Files")
            file_output = gr.File(
                label="Generated Audiobook Files",
                file_count="multiple",
                type='filepath'  # Corrected the type to 'filepath'
            )

            # Update the file_output component with the list of output files
            download_button.click(fn=list_output_files, inputs=[], outputs=file_output)

    # Periodically update the status_output textbox
    def periodic_update(state):
        return get_output(state)

    # Use Gradio's `every` method to update every second
    gui.load(
        periodic_update, 
        inputs=state, 
        outputs=status_output, 
        every=1  # Update every second
    )

gui.launch()