Romeo David commited on
Commit
9935929
·
1 Parent(s): d2415b0

Refactor display_outputs function to use data_field for client name and website, and update analyst response retrieval for improved clarity

Browse files
Files changed (1) hide show
  1. pages/output.py +5 -5
pages/output.py CHANGED
@@ -1,7 +1,7 @@
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  import json
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  import os
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  import streamlit as st
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- from helper.data_field import get_analyst_response
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  import time
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  st.set_page_config(layout="centered")
@@ -149,8 +149,8 @@ def seo_on_page_table(df_data):
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  def display_outputs():
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- client_name = "RMX Creatives"
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- client_website = "https://rmxcreatives.com/"
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  overview = f"""**{client_name}** is a financial services company based in Auckland, New Zealand, specializing in providing quick and flexible loan solutions for businesses and individuals. Represented by Paul Stone, LoansOne has enlisted ShoreMarketing to perform a deep dive into their digital footprint to have a view of the holistic status of their digital properties and determine how each property can play part in implementing a stronger digital marketing plan.\n
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  The Digital Marketing Footprint consists of deep-dive research by ShoreMarketing specialists to help the business leaders of LoansOne understand the effectiveness of their existing digital initiatives with the view of giving them an insight to developing a strategy and effectively allocating business resources to digital properties that will give them the best results.\n
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  This document represents the results of our audit of LoansOne’s digital marketing and management practices. Our audit covered reviews of key digital areas: Website and Tools, PPC/SEM, SEO, Social Media, and Market Places."""
@@ -165,7 +165,7 @@ This document represents the results of our audit of LoansOne’s digital market
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  st.markdown(f"{overview}")
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  st.markdown("---")
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  st.markdown("### Executive Summary")
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- st.markdown(f"Simtech LED's digital footprint reveals significant strengths and areas for improvement that can enhance its competitive positioning in the casino, gaming, and entertainment LED market. The analysis highlights the following key findings and recommendations")
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  st.markdown("---")
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  st.markdown("### CLIENT FOOTPRINT")
@@ -358,7 +358,7 @@ We have evaluated the process of content development strategy and existing conte
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  st.write(None)
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- conversion = get_analyst_response("CConnection Analyst")
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  st.markdown("##### CONNECTION OF ALL ONLINE AND OFFLINE TOUCH POINTS")
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  st.write(conversion)
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  import json
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  import os
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  import streamlit as st
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+ from helper.data_field import get_analyst_response, data_field
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  import time
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  st.set_page_config(layout="centered")
 
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  def display_outputs():
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+ client_name = data_field("Client Name")
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+ client_website = data_field("Client Website")
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  overview = f"""**{client_name}** is a financial services company based in Auckland, New Zealand, specializing in providing quick and flexible loan solutions for businesses and individuals. Represented by Paul Stone, LoansOne has enlisted ShoreMarketing to perform a deep dive into their digital footprint to have a view of the holistic status of their digital properties and determine how each property can play part in implementing a stronger digital marketing plan.\n
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  The Digital Marketing Footprint consists of deep-dive research by ShoreMarketing specialists to help the business leaders of LoansOne understand the effectiveness of their existing digital initiatives with the view of giving them an insight to developing a strategy and effectively allocating business resources to digital properties that will give them the best results.\n
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  This document represents the results of our audit of LoansOne’s digital marketing and management practices. Our audit covered reviews of key digital areas: Website and Tools, PPC/SEM, SEO, Social Media, and Market Places."""
 
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  st.markdown(f"{overview}")
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  st.markdown("---")
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  st.markdown("### Executive Summary")
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+ st.markdown(get_analyst_response("Executive Summary Analyst"))
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  st.markdown("---")
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  st.markdown("### CLIENT FOOTPRINT")
 
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  st.write(None)
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+ conversion = get_analyst_response("Connection Analyst")
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  st.markdown("##### CONNECTION OF ALL ONLINE AND OFFLINE TOUCH POINTS")
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  st.write(conversion)
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