app.py

import streamlit as st
import requests

from langchain.utilities import ApifyWrapper
from langchain.document_loaders.base import Document

# Initialize ApifyWrapper and other environment variables
os.environ["OPENAI_API_KEY"] = "Your OpenAI API key"
os.environ["APIFY_API_TOKEN"] = "Your Apify API token"

APIFY_WEATHER_KEY = "91b23cab82ee530b2052c8757e343b0d"
apify = ApifyWrapper()

def get_website_summary(website_url):
    # For now, return a dummy summary. Replace this with the API logic you have
    return "This is a dummy summary for " + website_url

def get_google_reviews(website_url):
    # Return dummy Google Maps reviews for now.
    # Replace this with the logic to get reviews summary using GPT-3.5 and Google Maps API.
    return {
        "pros": ["Great ambiance", "Friendly staff", "Tasty food"],
        "cons": ["A bit pricey", "Long waiting times on weekends", "Limited parking"]
    }

def get_peak_times(website_url):
    # Dummy data for peak times.
    # Replace this with the logic to fetch peak times using Google Maps API.
    return {
        "Monday": [10, 20, 30, 40, 30, 20, 10],
        "Tuesday": [15, 25, 35, 45, 35, 25, 15],
        # ... add other days
    }

def get_images(website_url):
    # Return dummy image URLs.
    # Replace this with logic to fetch place images using Google Maps API.
    return [
        "https://via.placeholder.com/150",
        "https://via.placeholder.com/150",
        "https://via.placeholder.com/150",
        "https://via.placeholder.com/150",
        "https://via.placeholder.com/150",
    ]

def get_map_widget(website_url):
    # Return dummy map coordinates (for New York City).
    # Replace this with the logic to fetch actual coordinates of the place using its website URL.
    return {
        "lat": 40.730610,
        "lon": -73.935242
    }

def get_weather_data(lat, lon):
    BASE_URL = f"https://api.openweathermap.org/data/3.0/onecall"
    params = {
        "lat": lat,
        "lon": lon,
        "exclude": "hourly,daily,minutely",
        "appid": APIFY_WEATHER_KEY,
        "units": "metric"
    }
    response = requests.get(BASE_URL, params=params)
    if response.status_code == 200:
        return response.json()
    else:
        return None

def process_website(website_url):
    website_summary = get_website_summary(website_url)
    reviews = get_google_reviews(website_url)
    peak_times = get_peak_times(website_url)
    images = get_images(website_url)
    map_widget = get_map_widget(website_url)
    
    weather_data = get_weather_data(map_widget["lat"], map_widget["lon"])
    if weather_data:
        temp = weather_data["current"]["temp"]
        weather_desc = weather_data["current"]["weather"][0]["description"]
        weather_widget = f"It's {temp}°C with {weather_desc}."
    else:
        weather_widget = "Unable to fetch weather data at the moment."
    
    return website_summary, reviews, peak_times, images, map_widget, weather_widget

# Streamlit UI
st.title("Website Information Extractor")

website_url = st.text_input("Enter a website/company name:")

if website_url:
    summary, reviews, peak_times, images, map_data, weather_info = process_website(website_url)

    st.subheader("Website Summary")
    st.write(summary)

    st.subheader("Google Reviews")
    st.write("Pros:")
    for pro in reviews["pros"]:
        st.write(f"- {pro}")

    st.write("Cons:")
    for con in reviews["cons"]:
        st.write(f"- {con}")

    st.subheader("Peak Times")
    for day, times in peak_times.items():
        st.write(f"{day}: {times}")

    st.subheader("Images")
    for image in images:
        st.image(image)

    st.subheader("Location")
    st.map({"lat": map_data["lat"], "lon": map_data["lon"]})

    st.subheader("Current Weather")
    st.write(weather_info)