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Initial commit with full functionality extend app
Browse files
app.py
CHANGED
@@ -60,26 +60,22 @@ def update_button_state(url: str) -> Dict:
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with gr.Blocks(title="Smart Web Analyzer Plus", theme=gr.themes.Soft()) as demo:
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# Header
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gr.Markdown(
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# π Smart Web Analyzer Plus
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Analyze web content using AI to extract summaries, determine sentiment, and identify topics.
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"""
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)
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# Input Section
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with gr.Row():
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with gr.Column(scale=
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url_input = gr.Textbox(
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label="Enter URL",
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placeholder="https://example.com",
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show_label=True
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)
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with gr.Column(scale=2):
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choices=["summarize", "sentiment", "topics"],
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label="Analysis Types",
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value=["summarize"],
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show_label=True
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)
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with gr.Column(scale=1):
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@@ -89,29 +85,25 @@ with gr.Blocks(title="Smart Web Analyzer Plus", theme=gr.themes.Soft()) as demo:
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interactive=False
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)
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#
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sentiment_output = gr.Markdown()
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with gr.TabItem("π Topics"):
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topics_output = gr.Markdown()
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# Loading indicator
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status = gr.Markdown("")
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# Example Section
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gr.Examples(
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examples=[
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["https://www.bbc.com/news/technology-67881954", ["summarize", "sentiment"]],
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["https://arxiv.org/html/2312.17296v1", ["topics", "summarize"]]
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],
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inputs=[url_input,
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label="Try these examples"
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)
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# Event Handlers
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@@ -123,10 +115,10 @@ with gr.Blocks(title="Smart Web Analyzer Plus", theme=gr.themes.Soft()) as demo:
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)
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def on_analyze_start():
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return gr.update(value="β³ Analysis in progress...")
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def on_analyze_end():
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return gr.update(value="")
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analyze_btn.click(
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fn=on_analyze_start,
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@@ -134,12 +126,12 @@ with gr.Blocks(title="Smart Web Analyzer Plus", theme=gr.themes.Soft()) as demo:
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queue=False
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).then(
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fn=lambda url, m: format_results(analyzer.analyze(url, m)),
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inputs=[url_input,
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outputs=[
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]
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).then(
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fn=on_analyze_end,
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@@ -148,7 +140,6 @@ with gr.Blocks(title="Smart Web Analyzer Plus", theme=gr.themes.Soft()) as demo:
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if __name__ == "__main__":
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demo.launch(
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server_port=7860 # Default Gradio port
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)
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with gr.Blocks(title="Smart Web Analyzer Plus", theme=gr.themes.Soft()) as demo:
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# Header
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gr.Markdown("# π Smart Web Analyzer Plus")
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gr.Markdown("Analyze web content using AI to extract summaries, determine sentiment, and identify topics.")
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# Input Section
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with gr.Row():
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with gr.Column(scale=3):
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url_input = gr.Textbox(
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label="Enter URL",
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placeholder="https://example.com",
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show_label=True
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)
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with gr.Column(scale=2):
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analysis_types = gr.CheckboxGroup(
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choices=["summarize", "sentiment", "topics"],
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label="Analysis Types",
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value=["summarize"],
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show_label=True
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)
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with gr.Column(scale=1):
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interactive=False
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)
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# Content display with single row of tabs
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output_tabs = gr.Tabs([
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gr.Tab("π Clean Text", gr.Markdown(label="Clean Text")),
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gr.Tab("π Summary", gr.Markdown(label="Summary")),
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gr.Tab("π Sentiment", gr.Markdown(label="Sentiment")),
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gr.Tab("π Topics", gr.Markdown(label="Topics"))
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])
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# Loading indicator
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status = gr.Markdown(visible=False)
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# Example Section
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gr.Examples(
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label="Try these examples",
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examples=[
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["https://www.bbc.com/news/technology-67881954", ["summarize", "sentiment"]],
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["https://arxiv.org/html/2312.17296v1", ["topics", "summarize"]]
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],
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inputs=[url_input, analysis_types]
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)
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# Event Handlers
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)
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def on_analyze_start():
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return gr.update(value="β³ Analysis in progress...", visible=True)
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def on_analyze_end():
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return gr.update(value="", visible=False)
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analyze_btn.click(
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fn=on_analyze_start,
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queue=False
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).then(
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fn=lambda url, m: format_results(analyzer.analyze(url, m)),
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inputs=[url_input, analysis_types],
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outputs=[
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output_tabs.select(0), # Clean Text
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output_tabs.select(1), # Summary
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output_tabs.select(2), # Sentiment
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output_tabs.select(3) # Topics
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]
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).then(
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fn=on_analyze_end,
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if __name__ == "__main__":
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demo.launch(
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server_name="0.0.0.0",
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server_port=7860
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)
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