Update app.py

app.py

@@ -143,12 +143,33 @@ retriever = EmbeddingRetriever(
     progress_bar=False,
 )
 
+with st.sidebar:
+    # Dropdown selectbox
+    country = st.sidebar.selectbox('Select a country:', country_options) 
+    # choice = st.sidebar.radio(label = 'Select the Document',
+    #                         help = 'You can upload the document \
+    #                         or else you can try a example document', 
+    #                         options = ('Upload Document', 'Try Example'), 
+    #                         horizontal = True)
+
+with st.container():
+        st.markdown("<h2 style='text-align: center;'> Climate Policy Documents: Vulnerabilities Analysis Q&A </h2>", unsafe_allow_html=True)
+        st.write(' ')
+
+with st.expander("ℹ️ - About this app", expanded=False):
+    st.write(
+        """
+        This tool seeks to provide an interface for quering national climate policy documents (NDCs, LTS etc.). The current version is powered by chatGPT (3.5). The document store is limited to 10 Southern African countries (Angola, Botswana, Eswatini, Lesotho, Malawi, Mozambique, Namibia, South Africa, Zambia, Zimbabwe), as well as Kenya and Rwanda. The intended use case is to allow users to interact with the documents and obtain valuable insights on various vulnerable groups affected by climate change.
+        
+        **DISCLAIMER:** *This prototype tool based on LLMs (Language Models) is provided "as is" for experimental and exploratory purposes only, and should not be used for critical or production applications. Users are advised that the tool may contain errors, bugs, or limitations and should be used with caution and awareness of potential risks, and the developers make no warranties or guarantees regarding its performance, reliability, or suitability for any specific purpose.*
+        """)
+
+    # Display the text passages as radio buttons
+    selected_example = st.radio("Example questions", examples)
+
+
+
 
-# Guiding text             
-st.title('Climate Policy Documents: Vulnerabilities Analysis Q&A')
-st.markdown('This tool seeks to provide an interface for quering national climate policy documents (NDCs, LTS etc.). The current version is powered by chatGPT (3.5). The document store is limited to 10 Southern African countries (Angola, Botswana, Eswatini, Lesotho, Malawi, Mozambique, Namibia, South Africa, Zambia, Zimbabwe), as well as Kenya and Rwanda. The intended use case is to allow users to interact with the documents and obtain valuable insights on various vulnerable groups affected by climate change.')
-st.markdown('**DISCLAIMER:** *This prototype tool based on LLMs (Language Models) is provided "as is" for experimental and exploratory purposes only, and should not be used for critical or production applications. Users are advised that the tool may contain errors, bugs, or limitations and should be used with caution and awareness of potential risks, and the developers make no warranties or guarantees regarding its performance, reliability, or suitability for any specific purpose.*')
-    
 # Dropdown selectbox: model
 # model_sel = st.selectbox('Select an LLM:', model_options)
 model_sel = "chatGPT"
@@ -169,11 +190,9 @@ else:
     client = InferenceClient()
 
 
-# Dropdown selectbox
-country = st.selectbox('Select a country:', country_options) 
 
-# Display the text passages as radio buttons
-selected_example = st.radio("Example questions", examples)
+
+
 
 if selected_example == "-":
     text = st.text_area('Enter your question in the text box below using natural language or select an example from above:')
@@ -184,3 +203,5 @@ else:
 if st.button('Submit'):
     run_query(text, country=country, model_sel=model_sel)
 
+
+