Update app.py
Browse files
app.py
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@@ -38,33 +38,37 @@ def youtube_sentiment_analysis(url, num_of_comments):
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logging.exception(f"Unexpected Error: {str(e)}")
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return f"Unexpected Error: {str(e)}", None, None
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# Gradio Interface (All Outputs Below Input)
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iface = gr.Blocks()
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# Example YouTube URLs
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example_urls = [
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"https://www.youtube.com/watch?v=0e9WuB0Ua98",
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"https://www.youtube.com/watch?v=3JZ_D3ELwOQ",
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"https://youtu.be/dQw4w9WgXcQ",
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"https://www.youtube.com/watch?v=9bZkp7q19f0",
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"https://www.youtube.com/watch?v=2Vv-BfVoq4g"
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]
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gr.
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with gr.Row():
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submit_btn.click(
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youtube_sentiment_analysis,
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@@ -72,10 +76,6 @@ with iface:
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outputs=[output_summary, output_chart, output_table],
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)
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gr.Markdown("### Example YouTube Video URLs for Testing (Click to Use)")
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with gr.Row():
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for example in example_urls:
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gr.Button(example).click(fn=lambda x=example: x, outputs=[youtube_url])
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# Launch App
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logging.exception(f"Unexpected Error: {str(e)}")
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return f"Unexpected Error: {str(e)}", None, None
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# Example YouTube URLs
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example_urls = [
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["https://www.youtube.com/watch?v=0e9WuB0Ua98"],
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["https://www.youtube.com/watch?v=3JZ_D3ELwOQ"],
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["https://youtu.be/dQw4w9WgXcQ"],
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["https://www.youtube.com/watch?v=9bZkp7q19f0"],
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["https://www.youtube.com/watch?v=2Vv-BfVoq4g"]
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]
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# Gradio Interface
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with gr.Blocks() as demo:
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# Centered Title
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with gr.Row():
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gr.HTML("<h1 style='text-align: center; width: 100%;'>🎬 YouTube Comment Sentiment Analysis</h1>")
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with gr.Row():
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gr.HTML("<p style='text-align: center; width: 100%;'>Enter a YouTube video URL and specify the number of comments to analyze.</p>")
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with gr.Row():
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with gr.Column():
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youtube_url = gr.Textbox(label="YouTube Video URL")
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num_comments = gr.Slider(minimum=10, maximum=1000, step=1, value=100, label="Number of Comments to Fetch")
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submit_btn = gr.Button("Submit")
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gr.Markdown("### Example YouTube Video URLs for Testing")
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gr.Examples(examples=example_urls, inputs=youtube_url, label="Click an example to autofill")
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with gr.Column():
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output_summary = gr.Textbox(label="Overall Sentiment Summary")
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output_chart = gr.Plot(label="Sentiment Chart")
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output_table = gr.Dataframe(label="Comment Sentiment Analysis")
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submit_btn.click(
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youtube_sentiment_analysis,
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outputs=[output_summary, output_chart, output_table],
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)
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# Launch App
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if __name__ == "__main__":
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demo.launch()
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