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Update app.py
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app.py
CHANGED
@@ -15,6 +15,7 @@ import multiprocessing
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import psutil
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import concurrent.futures
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import gc
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class TimingManager:
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def __init__(self):
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@@ -523,92 +524,189 @@ voice_options = {
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import atexit
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atexit.register(file_manager.cleanup_all)
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# Create
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with gr.
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# Handle button click with manual error handling instead of .catch()
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submit_btn.click(
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fn=process_text_with_progress,
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inputs=[
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text_input,
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rate_slider,
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voice_dropdown,
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words_per_line,
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lines_per_segment,
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parallel_processing
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],
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outputs=[
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srt_file,
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audio_file,
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audio_output,
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error_output,
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error_output
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],
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api_name="generate"
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)
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import psutil
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import concurrent.futures
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import gc
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from gradio.themes import Monochrome
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class TimingManager:
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def __init__(self):
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import atexit
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atexit.register(file_manager.cleanup_all)
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# Create custom theme
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theme = Monochrome().set(
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primary_hue="blue",
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secondary_hue="slate",
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neutral_hue="zinc",
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)
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# Create Gradio interface with modern UI
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with gr.Blocks(
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title="Text to Speech Studio",
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theme=theme,
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css="""
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.container { max-width: 1200px; margin: auto; }
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.title { text-align: center; margin-bottom: 2rem; }
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.input-group { margin-bottom: 1.5rem; }
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.help-text { font-size: 0.9em; color: #666; }
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.status-area { margin: 1rem 0; }
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"""
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) as app:
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with gr.Group(elem_classes="container"):
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gr.Markdown(
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"""
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# ποΈ Text to Speech Studio
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### Generate professional quality audio with synchronized subtitles
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"""
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, elem_classes="title")
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with gr.Tabs():
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with gr.TabItem("π Text Input"):
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with gr.Row():
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with gr.Column(scale=3):
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text_input = gr.Textbox(
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label="Your Text",
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lines=10,
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placeholder="Enter your text here. The AI will automatically segment it into natural phrases...",
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elem_classes="input-group"
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)
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gr.Markdown(
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"π‘ **Tip:** For best results, ensure proper punctuation in your text.",
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elem_classes="help-text"
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)
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with gr.Column(scale=2):
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with gr.Group():
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gr.Markdown("### Voice Settings")
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voice_dropdown = gr.Dropdown(
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label="Voice",
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choices=list(voice_options.keys()),
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value="Jenny Female",
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elem_classes="input-group"
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)
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with gr.Row():
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with gr.Column():
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pitch_slider = gr.Slider(
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label="Pitch",
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minimum=-10,
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maximum=10,
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value=0,
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step=1,
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elem_classes="input-group"
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)
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with gr.Column():
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rate_slider = gr.Slider(
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label="Speed",
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minimum=-25,
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maximum=25,
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value=0,
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step=1,
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elem_classes="input-group"
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)
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with gr.TabItem("βοΈ Advanced Settings"):
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with gr.Row():
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with gr.Column():
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words_per_line = gr.Slider(
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label="Words per Line",
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minimum=3,
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maximum=12,
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value=6,
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step=1,
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info="π Controls subtitle line length",
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elem_classes="input-group"
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)
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with gr.Column():
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lines_per_segment = gr.Slider(
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label="Lines per Segment",
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minimum=1,
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maximum=4,
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value=2,
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step=1,
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info="π Controls subtitle block size",
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elem_classes="input-group"
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)
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with gr.Column():
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parallel_processing = gr.Checkbox(
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label="Parallel Processing",
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value=True,
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info="β‘ Faster processing for longer texts",
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elem_classes="input-group"
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)
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with gr.Row():
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with gr.Column(scale=2):
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submit_btn = gr.Button(
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"π― Generate Audio & Subtitles",
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variant="primary",
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scale=2
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)
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with gr.Column():
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clear_btn = gr.Button("π Clear All", variant="secondary")
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with gr.Group(elem_classes="status-area"):
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error_output = gr.Textbox(
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label="Status",
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visible=False,
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elem_classes="error-message"
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)
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with gr.Tabs():
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with gr.TabItem("π§ Preview"):
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audio_output = gr.Audio(
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label="Generated Audio",
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elem_classes="preview-audio"
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)
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with gr.TabItem("π₯ Downloads"):
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with gr.Row():
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with gr.Column():
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srt_file = gr.File(
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label="π Subtitle File (SRT)",
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elem_classes="download-file"
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)
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with gr.Column():
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audio_file = gr.File(
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label="π΅ Audio File (MP3)",
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elem_classes="download-file"
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)
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gr.Markdown(
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"""
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### π Features
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- Professional-quality text-to-speech conversion
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- Automatic natural speech segmentation
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- Perfectly synchronized subtitles
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- Multiple voice options and customization
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""",
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elem_classes="help-text"
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)
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# Clear button functionality
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def clear_inputs():
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return {
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text_input: "",
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pitch_slider: 0,
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rate_slider: 0,
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voice_dropdown: "Jenny Female",
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words_per_line: 6,
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lines_per_segment: 2,
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parallel_processing: True,
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error_output: gr.update(visible=False),
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audio_output: None,
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srt_file: None,
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audio_file: None
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}
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clear_btn.click(
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fn=clear_inputs,
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inputs=[],
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outputs=[
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text_input, pitch_slider, rate_slider, voice_dropdown,
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words_per_line, lines_per_segment, parallel_processing,
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error_output, audio_output, srt_file, audio_file
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]
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)
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# Existing button click handler
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submit_btn.click(
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fn=process_text_with_progress,
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inputs=[
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text_input, pitch_slider, rate_slider, voice_dropdown,
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words_per_line, lines_per_segment, parallel_processing
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],
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outputs=[
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srt_file, audio_file, audio_output, error_output, error_output
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],
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api_name="generate"
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)
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