Update app.py

app.py

@@ -1,40 +1,56 @@
 import streamlit as st
 from apify_client import ApifyClient
-
-# Initialize the ApifyClient with your API token
-client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
-
-# Streamlit UI
-st.title("Places Information")
-
-website_name = st.text_input("Enter the type of place (e.g., restaurant, cafe):", "restaurant")
-location = st.text_input("Enter the location:", "New York, USA")
-button = st.button("Fetch Information")
-
-
-def fetch_places_from_google_maps(website_name, location):
-    try:
-        run_input = {
-            "searchStringsArray": [website_name],
-            "locationQuery": location,
-            "maxCrawledPlacesPerSearch": 1,  # Fetching only one record for simplicity
-            # Other input parameters can be added as per your requirements
-        }
-
-        # Update the actor call
-        run = client.actor("compass~crawler-google-places").call(run_input=run_input)
-        
-        items = list(client.dataset(run["defaultDatasetId"]).iterate_items())
-        if items:
-            return items[0]
-    except Exception as e:
-        st.write(f"Error: {str(e)}")
-    return None
-
-
-if button:
-    place_data = fetch_places_from_google_maps(website_name, location)
-    if place_data:
-        st.write(place_data)
-    else:
-        st.write("No data found!")
+import requests
+
+# API Keys
+APIFY_KEY = 'apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp'
+WEATHER_KEY = '91b23cab82ee530b2052c8757e343b0d'
+
+# Set up clients
+apify_client = ApifyClient(APIFY_KEY)
+
+st.title("Comprehensive Place Summary App")
+website_name = st.text_input("Enter website / company name:")
+
+# 1. Website API Integration (if needed in the future)
+def fetch_website_content(website_name):
+    run = apify_client.actor("mc9KJTQJg3zfQpANg/aYG0l9s7dbB7j3gbS").call(run_input={})
+    items = [item for item in apify_client.dataset(run["defaultDatasetId"]).iterate_items()]
+    return items
+
+# 2. Google Maps API Integration
+def fetch_google_maps_info(website_name):
+    run_input = {
+        "searchStringsArray": [website_name],
+        "locationQuery": "New York, USA",
+        #... other parameters you've mentioned
+    }
+    run = apify_client.actor("mc9KJTQJg3zfQpANg/nwua9Gu5YrADL7ZDj").call(run_input=run_input)
+    items = [item for item in apify_client.dataset(run["defaultDatasetId"]).iterate_items()]
+    return items
+
+# 3. Weather API Integration
+def fetch_weather_data(lat, lon):
+    url = f"https://api.openweathermap.org/data/3.0/onecall?lat={lat}&lon={lon}&appid={WEATHER_KEY}"
+    response = requests.get(url)
+    data = response.json()
+    return data
+
+if website_name:
+    google_maps_data = fetch_google_maps_info(website_name)
+    
+    # Presenting Google Maps data in a Streamlit table
+    st.subheader("Google Maps Data:")
+    st.table(google_maps_data)
+
+    # Extracting lat and lon and fetching weather data
+    lat, lon = google_maps_data[0]['location']['lat'], google_maps_data[0]['location']['lon']
+    weather_data = fetch_weather_data(lat, lon)
+    
+    # Display the fetched weather data
+    st.subheader("Weather Data:")
+    st.write(weather_data['current'])  # Displaying current weather data, but you can format this as needed.
+
+    # Displaying the place location on a Streamlit map
+    st.subheader("Place Location:")
+    st.map({"lat": lat, "lon": lon})