Yinxing/LLM_Dataset

1from geopy.geocoders import Nominatim2from geopy import geocoders3from geopy.distance import geodesic4import pandas as pd5import streamlit as st6 7 8 9def find_nearby_places(lat, lon, place_type, radius):10    geolocator = Nominatim(user_agent="nearby_search")11    location = geolocator.reverse((lat, lon))12    st.write(f"\n検索した場所: {location}\n")13 14    query = f"{place_type} near {lat}, {lon}"15    df = []16    try:17        places = geolocator.geocode(query, exactly_one=False, limit=None)18        if places:19            for place in places:20                place_coords = (place.latitude, place.longitude)21                place_distance = geodesic((lat, lon), place_coords).kilometers22                if place_distance <= radius:23                    df.append((place.address,) + place_coords + (place_distance,))24                    #print(f"{place.address} ({place_distance:.2f} km)")25        else:26            st.write("No nearby places found for the given type.")27    except:28        st.write("Error: Unable to fetch nearby places.")29 30    return pd.DataFrame(df, columns = ['場所', 'lat', 'lon', '距離(km)'])31 32 33def get_place(x):34  loc = Nominatim(user_agent="GetLoc")35  getLoc = loc.geocode(x,country_codes='jp')36  return getLoc.latitude, getLoc.longitude, getLoc