Update app.py

app.py

@@ -2,55 +2,51 @@ import streamlit as st
 from apify_client import ApifyClient
 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):
+    # Initialize the ApifyClient with your API token
+    apify_client = ApifyClient("apify_api_uz0y556N4IG2aLcESj67kmnGSUpHF12XAkLp")
+
+    # Prepare the Actor input for Google Maps
     run_input = {
         "searchStringsArray": [website_name],
-        "locationQuery": "New York, USA",
-        #... other parameters you've mentioned
+        # ... other parameters
     }
-    run = apify_client.actor("mc9KJTQJg3zfQpANg/nwua9Gu5YrADL7ZDj").call(run_input=run_input)
-    items = [item for item in apify_client.dataset(run["defaultDatasetId"]).iterate_items()]
+
+    # Run the Actor and wait for it to finish
+    run = apify_client.actor("nwua9Gu5YrADL7ZDj").call(run_input=run_input)
+    
+    # Fetch Actor results from the run's dataset
+    items = list(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}"
+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)
-    data = response.json()
-    return data
+    return response.json()
+
+# Main Streamlit app
+website_name = st.text_input("Enter a website / company name:")
 
 if website_name:
+    # Fetch Google Maps data
     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 in Streamlit table
+    if google_maps_data:
+        st.write(google_maps_data)  # Or customize the table presentation
     
-    # 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})
+        # Fetch weather info based on Google Maps data's location
+        lat = google_maps_data[0].get("location", {}).get("lat")
+        lng = google_maps_data[0].get("location", {}).get("lng")
+        
+        if lat and lng:
+            # Display location on Streamlit map
+            st.map({"lat": lat, "lon": lng})
+            
+            weather_data = fetch_weather_info(lat, lng)
+            current_weather = weather_data.get("current", {})
+            st.write(f"Temperature: {current_weather.get('temp')}°C")
+            st.write(f"Weather: {current_weather.get('weather')[0].get('description')}")
+    else:
+        st.write("No results found for this website / company name on Google Maps.")