Update app.py

app.py

@@ -1,5 +1,6 @@
 import streamlit as st
 import pandas as pd
+import numpy as np
 from apify_client import ApifyClient
 import requests
 
@@ -42,28 +43,27 @@ if website_name:
             st.write(f"**Location:** {lat}, {lng}")
             st.write(f"**Temperature:** {temp_in_celsius:.2f}°C")
             st.write(f"**Weather:** {current_weather.get('weather')[0].get('description')}")
-
-        # Display occupancy chart using data from `popularTimesHistogram`
+        
+        # Occupancy Data
         st.subheader("Occupancy Data")
         occupancy_data = google_maps_data.get('popularTimesHistogram', {})
-        df_occupancy = pd.DataFrame()
         for day, day_data in occupancy_data.items():
             if day_data:
                 hours = [entry['hour'] for entry in day_data]
                 occupancy = [entry['occupancyPercent'] for entry in day_data]
-                df_occupancy[day] = pd.Series(occupancy, index=hours)
-        st.line_chart(df_occupancy, use_container_width=True)
-
-        # Display opening hours
-        st.subheader("Opening Hours")
-        opening_hours = google_maps_data.get('openingHours', [])
-        for entry in opening_hours:
-            st.write(f"{entry['day']}: {entry['hours']}")
+                st.bar_chart(pd.Series(occupancy, index=hours), use_container_width=True, title=day)
+        
+        # Review Count and Distribution
+        st.subheader("Review Count and Distribution")
+        st.write(f"Total Reviews Count: {google_maps_data['reviewsCount']}")
+        review_distribution = google_maps_data['reviewsDistribution']
+        st.bar_chart(pd.Series(review_distribution), use_container_width=True)
+        
+        # Reviews Table
+        st.subheader("Customer Reviews")
+        reviews = google_maps_data.get('reviews', [])
+        review_df = pd.DataFrame(reviews)
+        st.table(review_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
 
-        # Display reviews data
-        st.subheader("Reviews Data")
-        st.write(f"Total Reviews Count: {reviews_data['reviewsCount']}")
-        df_reviews = pd.DataFrame(list(reviews_data['reviewsDistribution'].items()), columns=['Review', 'Count'])
-        st.bar_chart(df_reviews.set_index('Review'))
     else:
         st.write("No results found for this website / company name on Google Maps.")