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| import gradio as gr | |
| from main import main as process_video | |
| # Runs main processing function | |
| def run_pipeline(youtube_url): | |
| # Save final video path | |
| final_video_path = process_video(youtube_url) | |
| return final_video_path | |
| # Gradio UI | |
| with gr.Blocks() as demo: | |
| gr.Markdown( | |
| """ | |
| # Convert YouTube video to speech and writen subtitles in Spanish, cloning speaker's voices. | |
| ## Note: This code is optimized for GPU. Online use is slow due to CPU. Recommended local usage. | |
| """, | |
| elem_id="header", | |
| ) | |
| with gr.Column(): | |
| user_prompt = gr.Textbox( | |
| placeholder="Enter YouTube Video URL here...", | |
| ) | |
| btn = gr.Button("Convert") | |
| with gr.Column(): | |
| generated_video = gr.Video( | |
| interactive=False, label="Generated Video", include_audio=True | |
| ) | |
| btn.click( | |
| fn=run_pipeline, | |
| inputs=user_prompt, | |
| outputs=generated_video | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(show_error=True) | |