Add application file

app.py

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+# This page allows the user to view a list of members
+# By default, the output will be a streamlit rendered pandas dataframe
+# But there is also an option to render the output in raw HTML so that
+# the member's profile URL can be visited by clicking on the
+# "Profile" hyperlink that is only available in the raw HTML version.
+
+import psycopg2
+import os
+import pandas as pd
+import streamlit as st
+
+# Obtain username/password saved as environment variables
+user = 'project'
+pwd = 'project'
+
+# @st.cache prevents the streamlit app from executing redundant processes
+# repeatedly that are expensive such as database connections or reading input
+@st.cache(allow_output_mutation=True)
+def get_query_results():
+    """ A function that returns a table of members.
+        Until streamlit provides a way to pageinate results,
+        maximum of 1000 rows will be returned.
+        Output can be either a streamlit rendered dataframe
+        or raw HTML version.  Raw HTML version will provide
+        a hyperlink that will take you directly to the person's
+        company profile page.  This can be used to double-check
+        that the profile URL has been correctly generated.
+    """
+
+    # Connect to the PostgreSQL database server
+    with psycopg2.connect(host='127.0.0.1',
+                          port='5433',
+                          database='project',
+                          user=user,
+                          password=pwd) as conn:
+
+        sql = """
+        SELECT
+            *
+        FROM
+            public.basic_member_info
+        ORDER BY
+            last_name
+        LIMIT 1000
+        """
+
+        # Execute query and return results as a pandas dataframe
+        df = pd.read_sql(sql, conn, index_col=None)
+
+        # Define a function to create a "Profile" hyperlink
+        def createProfileHref(url: str):
+            """ Function to create a new column that converts URL as HTML hyperlink """
+    
+            value = '<a href="' + url + '"' + "/>Profile</a>"
+    
+            return value
+
+        # Apply the function we created above and create our new hyperlink column
+        df['profile_href'] = df['web_url'].apply(createProfileHref)
+
+        # Change order of dataframe columns
+        df = df[['profile_href', 'first_name', 'last_name', 'web_id', 
+                 'web_url', 'is_ahm']]
+
+    return df
+##
+def write():
+    """ Writes content to the app """
+
+    st.title("Get Members Data from PostgreSQL")
+
+    # Check to see if checkbox was checked or not (boolean) and will be used to
+    # determine if the output should be a streamlit dataframe or raw HTML.
+    html = st.checkbox(
+        'OPTIONAL: Render output as raw html to access the \"Profile\" hyperlink. ' +
+         'Otherwise, just click on Execute botton.',
+        False)
+
+    # Define what happens when user clicks on the "Execute" button
+    if st.button("Execute"):
+        '''
+        ### Query results:
+        '''
+        if html:
+            # Render or display the raw HTML version of the dataframe
+            st.write(get_query_results().to_html(escape=False, index=False), unsafe_allow_html=True)
+        else:
+            # Render or display the streamlit dataframe
+            st.dataframe(get_query_results())
+
+if __name__ == "__main__":
+    write()

requirements.txt

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+psycopg2
+streamlit
+pandas
+requests
+huggingface_hub
+torch==1.9.0
+scikit-learn==0.24.2
+seaborn==0.11.2
+numpy==1.21.2