Update app.py

app.py

@@ -3,89 +3,90 @@ import pandas as pd
 import requests
 from apify_client import ApifyClient
 
-# Function to fetch Google Maps info
+# Function to fetch Google Maps info using the antonces~gmaps actor
 def fetch_google_maps_info(website_name):
     apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
     run_input = {"searchStringsArray": [website_name]}
-    run = apify_client.actor("nwua9Gu5YrADL7ZDj").call(run_input=run_input)
+    run = apify_client.actor("antonces~gmaps").call(run_input=run_input)
     items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
     return items[0] if items else None
 
-# Function to fetch weather info
+# Function to fetch weather info from OpenWeatherMap API
 def fetch_weather_info(lat, lon):
     API_KEY = "91b23cab82ee530b2052c8757e343b0d"
     url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&exclude=hourly,daily&appid={API_KEY}"
     response = requests.get(url)
     return response.json()
 
-# Function to fetch website content
+# Function to fetch website content using the antonces~web-scraper-task actor
 def fetch_website_content(website_url):
     apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
     run_input = {}
-    run = apify_client.actor("mc9KJTQJg3zfQpANg/aYG0l9s7dbB7j3gbS").call(run_input=run_input)
+    run = apify_client.actor("antonces~web-scraper-task").call(run_input=run_input)
     items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
     return items if items else None
 
-# Streamlit app
+# Streamlit app for Data Visualization
 st.title("Data Visualization")
 
+# Input for website or company name
 website_name = st.text_input("Enter a website / company name:")
 
 if website_name:
+    # Initialize the progress bar
+    progress_bar = st.progress(0)
+    
+    # Fetch Google Maps data
     google_maps_data = fetch_google_maps_info(website_name)
+    progress_bar.progress(50)
 
     if google_maps_data:
-        # Display website link in a specific output box
+        # Display website link
         website_link = google_maps_data.get('website')
         st.text_area("Website Link:", website_link)
 
         # Display location and fetch weather info
         lat = google_maps_data["location"]["lat"]
         lng = google_maps_data["location"]["lng"]
-        if lat and lng:
-            st.map(pd.DataFrame({'lat': [lat], 'lon': [lng]}))  # Display the map
-            weather_data = fetch_weather_info(lat, lng)
-            current_weather = weather_data.get("current", {})
-            temp = current_weather.get('temp')
-            if temp:
-                temp_in_celsius = temp - 273.15
-                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')}")
+        st.map(pd.DataFrame({'lat': [lat], 'lon': [lng]}))
+        weather_data = fetch_weather_info(lat, lng)
+        current_weather = weather_data.get("current", {})
+        temp = current_weather.get('temp')
+        temp_in_celsius = temp - 273.15
+        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')}")
         
-        # Occupancy Data
+        # Display Occupancy Data
         st.subheader("Occupancy Data")
         occupancy_data = google_maps_data.get('popularTimesHistogram', {})
         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]
-                st.write(day)
-                st.bar_chart(pd.Series(occupancy, index=hours), use_container_width=True)
-        
-        # Review Count and Distribution
+            hours = [entry['hour'] for entry in day_data]
+            occupancy = [entry['occupancyPercent'] for entry in day_data]
+            st.write(day)
+            st.bar_chart(pd.Series(occupancy, index=hours))
+
+        # Display 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.get('reviewsDistribution', {})
-        st.bar_chart(pd.Series(review_distribution), use_container_width=True)
+        st.bar_chart(pd.Series(review_distribution))
         
-        # Reviews Table
+        # Display Reviews Table
         st.subheader("Customer Reviews")
         reviews = google_maps_data.get('reviews', [])
-        if reviews:
-            review_df = pd.DataFrame(reviews)
-            st.table(review_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
-        else:
-            st.write("No reviews available.")
+        review_df = pd.DataFrame(reviews)
+        st.table(review_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
         
-        # Website Content
+        # Fetch and Display Website Content
         st.subheader("Website Content")
         website_content_data = fetch_website_content(website_link)
+        progress_bar.progress(100)
+        
         if website_content_data:
             website_df = pd.DataFrame(website_content_data)
             st.table(website_df)
         else:
             st.write("Unable to retrieve website content.")
-
     else:
         st.write("No results found for this website / company name on Google Maps.")