update disclaimer
Browse files
app.py
CHANGED
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@@ -33,8 +33,16 @@ with st.sidebar:
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with st.container():
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st.markdown("<h2 style='text-align: center;'> Climate Vulnerability Analysis </h2>", unsafe_allow_html=True)
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st.write(' ')
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with st.expander("ℹ️ - About this app", expanded=False):
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st.write(
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"""
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The Climate Vulnerability App is an open-source\
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@@ -56,10 +64,27 @@ with st.expander("ℹ️ - About this app", expanded=False):
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In this step the document is broken into smaller paragraphs \
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(based on word/sentence count).
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- Step 2: The paragraphs are then fed to the **Vulnerability Classifier** which detects if
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the paragraph contains any or multiple references to vulnerable groups
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- Step 3: The identified references are then summarized using a LLM chosen by the user. \
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""")
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-
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st.write("")
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# Define the apps used
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with st.container():
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st.markdown("<h2 style='text-align: center;'> Climate Vulnerability Analysis </h2>", unsafe_allow_html=True)
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st.write(' ')
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st.write("""The **Climate Vulnerability App** is an **AI-based tool** to get a quick, high-level overview of the extent to which different marginalised groups are
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represented in climate policies. Upload a document, and the app uses AI to **identify references to groups vulnerable to climate change** and **summarizes key mentions**.
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Please note that the app is designed to support rapid screening and provide a quick overview over of potentially relevant information.
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Information may not always be complete and should not replace an in-depth human analysis.""")
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with st.expander("ℹ️ - About this app", expanded=False):
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st.subheader("About this app")
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st.write(
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"""
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The Climate Vulnerability App is an open-source\
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In this step the document is broken into smaller paragraphs \
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(based on word/sentence count).
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- Step 2: The paragraphs are then fed to the **Vulnerability Classifier** which detects if
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the paragraph contains any or multiple references to vulnerable groups and the **Target Classifier** which
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checks whether the reference is general or includes a target to be reached / concrete action formulated.
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- Step 3: The identified references are then summarized using a LLM chosen by the user. \
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""")
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st.subheader("Disclaimer")
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st.write("""This app is intended for specific use of retrieving information on groups in vulnerable situations of documents (e.g. climate documents)
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and retrieving an overview of the most relevant points. For any use beyond this scope we have no liability to a response provided by this app.
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We have implemented measures to ensure the technical robustness and security of our AI system,
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minimizing unexpected behaviour, however we do not guarantee the full reliability, or completeness of any information and disclaim any liability
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or responsibility for actions taken based on its responses.
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The app may occasionally provide inaccurate or inappropriate responses, and it is important to exercise judgment and critical thinking when interpreting
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its output. The use of AI within this application is transparent. When interacting with the AI, users are informed that they are engaging with an AI system
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The app responses should not be considered professional or authoritative advice and are generated based on patterns in the data it has been trained on.
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The app's responses do not reflect the opinions or policies of our organization or its affiliates.
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By using this app, you agree to these terms and acknowledge that you are solely responsible for any reliance on or actions taken based on its responses.
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User can read more about the technical information about the tool in Readme of this tool.
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This is just a prototype and being tested and worked upon, so its not perfect and may sometimes give irrelevant answers.
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If you are not satisfied with the answer, please ask a more specific question or report your feedback to help us improve the system.""")
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st.write("")
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# Define the apps used
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