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import streamlit as st |
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from research_agent import research_agent |
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def main(): |
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st.set_page_config( |
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page_title="Website Summary Generator", |
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page_icon="📚", |
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layout="wide" |
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) |
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st.title("📚 Website Summary Generator") |
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st.markdown("Enter a URL to generate a detailed summary report using AI.") |
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url = st.text_input("Enter URL to analyze:", |
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placeholder="https://example.com") |
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if st.button("Generate Report"): |
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if url: |
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with st.spinner("Generating report... This may take a few minutes."): |
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try: |
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research_report_response = research_agent.run(f"Analyze this URL thoroughly and create a detailed research report: {url}") |
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st.markdown("### Research Report") |
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st.markdown(research_report_response.content) |
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except Exception as e: |
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st.error(f"An error occurred: {str(e)}") |
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else: |
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st.warning("Please enter a URL first.") |
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with st.sidebar: |
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st.markdown("### About") |
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st.markdown(""" |
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This tool uses AI to generate detailed research reports from web content. |
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The report includes: |
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- Executive Summary |
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- Key Findings |
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- Detailed Analysis |
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- Supporting Data/Statistics |
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- Conclusions |
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""") |
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if __name__ == "__main__": |
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main() |
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