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ribenamaplesyrup committed Apr 25, 2024
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443 changes: 443 additions & 0 deletions streamlit/.ipynb_checkpoints/app-checkpoint.py

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2 changes: 1 addition & 1 deletion streamlit/app.py
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st.markdown(f'Sample Coverage: **{rewrite_date(str(oldest_date))}** - **{rewrite_date(str(recent_date))}**')
st.markdown(f'Sample Reports Processed: **266,989**')
st.markdown('GERM is a tool developed by [Autonomy](https://autonomy.work/) to map geopolitical and environmental risks mentioned within annual reports filed electronically with [Companies House](https://www.gov.uk/government/organisations/companies-house). All risks are classified using risk types adapted from the [Cambridge Taxonomy of Business Risks](https://www.jbs.cam.ac.uk/wp-content/uploads/2021/11/crs-cambridge-taxonomy-of-business-risks.pdf).', unsafe_allow_html=True)
st.markdown("""The content and comprehensiveness of risk disclosures by larger companies in the UK shows considerable variability, posing a challenge for analysis. Most of the companies that file their annual reports electronically are smaller in size and are not required to disclose risks. Larger companies are required to disclose risks, although the format for these disclosures is less standardized than the risk sections found within the 10-K annual reports filed with the SEC by US companies. To overcome this variability, we used advanced language models to extract, classify and summarise some of the key information included within risk disclosures made by UK companies filing within the sample coverage period.""", unsafe_allow_html=True)
st.markdown("""The content and comprehensiveness of risk disclosures by larger companies in the UK shows considerable variability, posing a challenge for analysis. Most of the companies that file their annual reports electronically are smaller in size and are not required to disclose risks. Larger companies are required to disclose risks, although the format for these disclosures is less standardized than the risk sections found within the 10-K annual reports filed with the SEC by US companies. To overcome this variability, we used advanced language models to extract, classify and summarise some of the key information included within risk disclosures made by UK companies filing within the sample coverage period. Check out our [blog post](https://medium.com/@lukas_22139/germ-geopolitical-environmental-risk-monitor-91a5ebfde1cc) to find out more.""", unsafe_allow_html=True)
st.markdown("""✉️ [Please reach out](mailto:[email protected]) if this research is useful to you and you would like to access the full dataset.""", unsafe_allow_html=True)

filtered_df.rename(columns={'Risk Type': 'Risk Type ⚙️',
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