LLM_Dataset / func.py
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from geopy.geocoders import Nominatim
from geopy import geocoders
from geopy.distance import geodesic
import pandas as pd
import streamlit as st
def find_nearby_places(lat, lon, place_type, radius):
geolocator = Nominatim(user_agent="nearby_search")
location = geolocator.reverse((lat, lon))
st.write(f"\n検索した場所: {location}\n")
query = f"{place_type} near {lat}, {lon}"
df = []
try:
places = geolocator.geocode(query, exactly_one=False, limit=None)
if places:
for place in places:
place_coords = (place.latitude, place.longitude)
place_distance = geodesic((lat, lon), place_coords).kilometers
if place_distance <= radius:
df.append((place.address,) + place_coords + (place_distance,))
#print(f"{place.address} ({place_distance:.2f} km)")
else:
st.write("No nearby places found for the given type.")
except:
st.write("Error: Unable to fetch nearby places.")
return pd.DataFrame(df, columns = ['場所', 'lat', 'lon', '距離(km)'])
def get_place(x):
loc = Nominatim(user_agent="GetLoc")
getLoc = loc.geocode(x,country_codes='jp')
return getLoc.latitude, getLoc.longitude, getLoc