Update app.py

app.py

@@ -287,6 +287,34 @@ def show_dimensions_selector(search_type):
         key='dimensions_selector'
     )
 
+import datetime
+import base64
+import os
+
+import streamlit as st
+from streamlit_elements import elements
+from google_auth_oauthlib.flow import Flow
+from googleapiclient.discovery import build
+from dotenv import load_dotenv
+import pandas as pd
+import searchconsole
+import cohere
+from sklearn.metrics.pairwise import cosine_similarity
+import requests
+from bs4 import BeautifulSoup
+
+# ... (keep the existing imports and configuration)
+
+# -------------
+# Data Processing Functions
+# -------------
+
+# ... (keep existing functions)
+
+# -------------
+# Streamlit UI Components
+# -------------
+
 def show_paginated_dataframe(report, rows_per_page=20, model_type='english'):
     report['position'] = report['position'].astype(int)
     report['impressions'] = pd.to_numeric(report['impressions'], errors='coerce')
@@ -299,7 +327,7 @@ def show_paginated_dataframe(report, rows_per_page=20, model_type='english'):
     
     def format_relevancy_score(x):
         if x is None:
-            return "Calculate"
+            return '<button class="calculate-btn">Calculate</button>'
         try:
             return f"{float(x):.2f}"
         except ValueError:
@@ -328,7 +356,7 @@ def show_paginated_dataframe(report, rows_per_page=20, model_type='english'):
             return 0
     
     report['ctr_numeric'] = report['ctr'].apply(safe_float_convert)
-    report['relevancy_score_numeric'] = report['relevancy_score'].apply(lambda x: safe_float_convert(x) if x != "Calculate" else -1)
+    report['relevancy_score_numeric'] = report['relevancy_score'].apply(lambda x: safe_float_convert(x) if x != '<button class="calculate-btn">Calculate</button>' else -1)
     
     sort_column_numeric = sort_column + '_numeric' if sort_column in ['ctr', 'relevancy_score'] else sort_column
     report = report.sort_values(by=sort_column_numeric, ascending=ascending)
@@ -361,7 +389,11 @@ def show_paginated_dataframe(report, rows_per_page=20, model_type='english'):
     def update_dataframe():
         df_html = report.iloc[start_idx:end_idx].to_html(escape=False, index=False)
         df_html = df_html.replace('</table>', ''.join([
-            *[f'<script>document.getElementsByTagName("table")[0].rows[{i+1}].cells[6].onclick = function() {{ calculate_relevancy({start_idx + i}) }}</script>'
+            '<style>',
+            '.calculate-btn { cursor: pointer; padding: 5px 10px; background-color: #4CAF50; color: white; border: none; border-radius: 4px; }',
+            '.calculate-btn:hover { background-color: #45a049; }',
+            '</style>',
+            *[f'<script>document.getElementsByTagName("table")[0].rows[{i+1}].cells[6].onclick = function(e) {{ if(e.target.classList.contains("calculate-btn")) calculate_relevancy({start_idx + i}) }}</script>'
               for i in range(min(rows_per_page, len(report) - start_idx))]
         ]) + '</table>')
         dataframe_placeholder.markdown(df_html, unsafe_allow_html=True)
@@ -389,7 +421,6 @@ def show_paginated_dataframe(report, rows_per_page=20, model_type='english'):
         update_dataframe()  # Update the dataframe display
 
     return report
-
 # -------------
 # Main Streamlit App Function
 # -------------
@@ -440,7 +471,7 @@ def main():
                     st.session_state.report_data = fetch_gsc_data(webproperty, search_type, start_date, end_date, selected_dimensions)
 
             if st.session_state.report_data is not None and not st.session_state.report_data.empty:
-                st.write("Data fetched successfully. Click 'Calculate' in the Relevancy Score column to calculate the score for each row.")
+                st.write("Data fetched successfully. Click the 'Calculate' button in the Relevancy Score column to calculate the score for each row.")
                 st.session_state.report_data = show_paginated_dataframe(st.session_state.report_data, model_type=model_type)
                 download_csv_link(st.session_state.report_data)
             elif st.session_state.report_data is not None: