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