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app.py
Browse files
app.py
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import gradio as gr
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from main import main as process_video
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def run_pipeline(youtube_url):
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# Run the main processing function from your script
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# This function should save the final video in the '/translated/' directory
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process_video(youtube_url)
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# Construct the path to the final video
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# Assuming the video is named 'final_video.mp4' and stored in '/translated/'
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final_video_path = './translated/final_video.mp4'
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# Return the path for Gradio to display
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return final_video_path
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iface = gr.Interface(
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fn=run_pipeline,
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inputs=gr.Textbox(lines=2, placeholder="Enter YouTube Video URL here..."),
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outputs=gr.Video(),
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title="YouTube Video Processing",
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description="Enter a YouTube URL to process the video through transcription, translation, and more."
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)
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if __name__ == "__main__":
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iface.launch()
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