Update app.py

app.py

@@ -1,45 +1,40 @@
 import streamlit as st
 import pandas as pd
-from apify_client import ApifyClient
 import requests
+from apify_client import ApifyClient
 
-# Function to fetch Google Maps info using the antonces~gmaps actor
+# Function to fetch Google Maps info using the nwua9Gu5YrADL7ZDj actor
 def fetch_google_maps_info(website_name):
     apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
     run_input = {"searchStringsArray": [website_name]}
-    run = apify_client.actor("antonces~gmaps").call(run_input=run_input)
+    run = apify_client.actor("nwua9Gu5YrADL7ZDj").call(run_input=run_input)
     items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
     return items[0] if items else None
 
-# Function to fetch customer reviews using the new API
+# 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 using the moJRLRc85AitArpNN actor
+def fetch_website_content(website_url):
+    apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
+    run_input = {"url": website_url}
+    run = apify_client.actor("moJRLRc85AitArpNN").call(run_input=run_input)
+    items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
+    return items if items else None
+
+# Function to fetch customer reviews using the Xb8osYTtOjlsgI6k9 actor
 def fetch_customer_reviews(location_query):
     client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
     run_input = {
         "searchStringsArray": ["restaurant"],
         "locationQuery": location_query,
-        "maxCrawledPlacesPerSearch": 50,
         "language": "en",
-        "maxImages": None,
-        "onlyDataFromSearchPage": False,
-        "includeWebResults": False,
-        "deeperCityScrape": False,
-        "maxReviews": None,
-        "oneReviewPerRow": False,
-        "reviewsSort": "newest",
-        "reviewsFilterString": "",
-        "scrapeReviewerName": True,
-        "scrapeReviewerId": True,
-        "scrapeReviewerUrl": True,
-        "scrapeReviewId": True,
-        "scrapeReviewUrl": True,
-        "scrapeResponseFromOwnerText": True,
-        "countryCode": None,
-        "searchMatching": "all",
-        "placeMinimumStars": "",
-        "skipClosedPlaces": False,
-        "allPlacesNoSearchAction": "",
     }
-    run = client.actor("mc9KJTQJg3zfQpANg/nwua9Gu5YrADL7ZDj").call(run_input=run_input)
+    run = client.actor("Xb8osYTtOjlsgI6k9").call(run_input=run_input)
     return list(client.dataset(run["defaultDatasetId"]).iterate_items())
 
 # Streamlit app for Data Visualization
@@ -49,19 +44,26 @@ st.title("Data Visualization")
 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(33)
     
     if google_maps_data:
         location_query = google_maps_data.get("locationQuery")
         reviews_data = fetch_customer_reviews(location_query)
-        
-        # Display Google Maps data
+        progress_bar.progress(66)
+
+        # Display the rest of the Google Maps data
         # ... (use the original display code for Google Maps data here) ...
-        
-        # Display reviews_data
-        review_df = pd.DataFrame(reviews_data)
+
+        # Display reviews_data from the new API
+        reviews_df = pd.DataFrame(reviews_data)
         st.subheader("Customer Reviews from New API")
-        st.table(review_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
+        st.table(reviews_df[['name', 'text', 'publishAt', 'likesCount', 'stars']])
+
+        progress_bar.progress(100)
     else:
         st.write("No results found for this website / company name on Google Maps.")