Update app.py

app.py

@@ -1,43 +1,90 @@
 import streamlit as st
 import pandas as pd
 import numpy as np
+from apify_client import ApifyClient
 import requests
 
-# Function to fetch data from the Apify actor
-def fetch_data_from_apify_actor(url):
+# Function to fetch Google Maps info
+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)
+    items = list(apify_client.dataset(run["defaultDatasetId"]).iterate_items())
+    return items[0] if items else None
+
+# Function to fetch website content using Apify actor
+def fetch_website_content(website_url):
+    apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
+    run_input = {"startUrls": [website_url]}
+    run = apify_client.actor("moJRLRc85AitArpNN").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
+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()
 
 # Streamlit app
 st.title("Data Visualization")
 
-# Fetch data using Apify actor
-apify_actor_url = "https://api.apify.com/v2/actor-runs/HsejBCDbeF39qAgsa?token=apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp"
-data = fetch_data_from_apify_actor(apify_actor_url)
-google_maps_data = data.get('output', {}).get('data', {})
-
-if google_maps_data:
-    # Display website link in a specific output box
-    website_link = google_maps_data.get('website')
-    st.text_area("Website Link:", website_link)
-
-    # Occupancy Data: Aggregate and rank
-    st.subheader("Occupancy Data (Aggregated by Day)")
-    occupancy_data = google_maps_data.get('popularTimesHistogram', {})
-    avg_occupancy = {}
-    for day, day_data in occupancy_data.items():
-        if day_data:
-            avg_occupancy[day] = np.mean([entry['occupancyPercent'] for entry in day_data])
-    days_order = sorted(avg_occupancy, key=avg_occupancy.get, reverse=True)
-    st.bar_chart(pd.Series({day: avg_occupancy[day] for day in days_order}), use_container_width=True)
-    
-    # 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']])
+website_name = st.text_input("Enter a website / company name:")
+
+if website_name:
+    google_maps_data = fetch_google_maps_info(website_name)
+
+    if google_maps_data:
+        # Display website link in a specific output box
+        website_link = google_maps_data.get('website')
+        st.text_area("Website Link:", website_link)
+
+        # Fetch and display website content
+        website_content = fetch_website_content(website_link)
+        if website_content:
+            st.subheader("Scraped Website Content")
+            content_df = pd.DataFrame(website_content)
+            st.table(content_df)
+
+        # 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_in_celsius = current_weather.get('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
+        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
+        st.subheader("Review Count and Distribution")
+        st.write(f"Total Reviews Count: {google_maps_data['reviewsCount']}")
+        review_distribution = google_maps_data['reviewsDistribution']
+        days_order = ['Mo', 'Tu', 'We', 'Th', 'Fr', 'Sa', 'Su']
+        ordered_distribution = {day: review_distribution.get(day, 0) for day in days_order}
+        st.bar_chart(pd.Series(ordered_distribution), use_container_width=True)
+        
+        # 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.")
+
     else:
-        st.write("No reviews available.")
-else:
-    st.write("No results found.")
+        st.write("No results found for this website / company name on Google Maps.")