app.py

import streamlit as st
import pandas as pd
from apify_client import ApifyClient
import requests

# 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 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")

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)

        # 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')}")

        # Display occupancy chart using data from `popularTimesHistogram`
        st.subheader("Occupancy Data")
        occupancy_data = google_maps_data.get('popularTimesHistogram', {})
        df_occupancy = pd.DataFrame()
        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]
                df_occupancy[day] = pd.Series(occupancy, index=hours)
        st.line_chart(df_occupancy, use_container_width=True)

        # Display opening hours
        st.subheader("Opening Hours")
        opening_hours = google_maps_data.get('openingHours', [])
        for entry in opening_hours:
            st.write(f"{entry['day']}: {entry['hours']}")

        # Display reviews data
        st.subheader("Reviews Data")
        st.write(f"Total Reviews Count: {reviews_data['reviewsCount']}")
        df_reviews = pd.DataFrame(list(reviews_data['reviewsDistribution'].items()), columns=['Review', 'Count'])
        st.bar_chart(df_reviews.set_index('Review'))
    else:
        st.write("No results found for this website / company name on Google Maps.")