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app.py
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from smolagents import launch_gradio_demo
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from tool import SimpleTool
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import gradio as gr
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from smolagents import load_tool
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import torch # Add explicit torch import
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# Ensure CUDA is available
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device = "cuda" if torch.cuda.is_available() else "cpu"
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# Load the tool
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web_analyzer = load_tool("MHamdan/web-analyzer", trust_remote_code=True)
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def create_interface():
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with gr.Blocks(title="AI Web Analyzer") as iface:
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gr.Markdown("# π€ AI-Powered Web Content Analyzer")
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gr.Markdown("""
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## Features:
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- π **Analyze**: Complete content analysis with AI summary
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- π **Summarize**: AI-generated multi-section summary
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- π **Sentiment**: Section-by-section sentiment analysis
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- π― **Topics**: AI topic classification
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""")
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with gr.Row():
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with gr.Column():
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url_input = gr.Textbox(
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label="Webpage URL",
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placeholder="Enter URL to analyze..."
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)
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mode = gr.Dropdown(
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choices=["analyze", "summarize", "sentiment", "topics"],
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label="Analysis Mode",
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value="analyze"
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)
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submit_btn = gr.Button("Analyze Content", variant="primary")
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with gr.Column():
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output = gr.Textbox(
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label="AI Analysis Results",
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lines=15
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)
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# Example data using artificial-intelligence-news.com
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examples = [
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["https://www.artificialintelligence-news.com/2024/02/14/openai-anthropic-google-white-house-red-teaming/", "analyze"],
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["https://www.artificialintelligence-news.com/2024/02/13/ai-21-labs-wordtune-chatgpt-plugin/", "summarize"],
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["https://www.artificialintelligence-news.com/2024/02/12/google-responds-gemini-ai-historical-images/", "sentiment"],
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["https://www.artificialintelligence-news.com/2024/02/09/anthropic-claude-3-models-preview/", "topics"]
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]
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gr.Examples(
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examples=examples,
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inputs=[url_input, mode],
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outputs=output,
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label="Try these examples:",
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cache_examples=True
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)
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submit_btn.click(
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fn=web_analyzer,
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inputs=[url_input, mode],
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outputs=output
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)
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return iface
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# Create and launch the interface
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demo = create_interface()
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demo.launch()
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