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import streamlit as st
import requests
from geopy.geocoders import Nominatim
from dotenv import load_dotenv
import os
import feedparser
load_dotenv()
# Load API keys from environment variables
ORS_API_KEY = os.getenv("ORS_API_KEY")
OPENWEATHER_API_KEY = os.getenv("OPENWEATHER_API_KEY")
# Initialize geolocator
geolocator = Nominatim(user_agent="commute_planner")
# Streamlit UI
st.title("🚗 Free Commute Planner")
st.markdown("Estimate travel time, check weather, AQI, and traffic-related news — no credit card needed!")
# Inputs
source = st.text_input("Enter your current location:")
destination = st.text_input("Enter your destination:")
if st.button("Plan My Commute") and source and destination:
with st.spinner("Fetching route and environment info..."):
def get_coords(location):
try:
loc = geolocator.geocode(location)
return (loc.latitude, loc.longitude)
except:
return None
src_coords = get_coords(source)
dest_coords = get_coords(destination)
if not src_coords or not dest_coords:
st.error("Could not find coordinates. Please enter valid locations.")
else:
# ✅ Travel Time via OpenRouteService
ors_url = "https://api.openrouteservice.org/v2/directions/driving-car"
headers = {
"Authorization": ORS_API_KEY,
"Content-Type": "application/json"
}
data = {
"coordinates": [
[src_coords[1], src_coords[0]], # (lon, lat)
[dest_coords[1], dest_coords[0]]
]
}
response = requests.post(ors_url, json=data, headers=headers)
if response.status_code == 200:
result = response.json()
try:
duration_sec = result['features'][0]['properties']['segments'][0]['duration']
duration_min = round(duration_sec / 60, 2)
st.success(f"🕒 Estimated Travel Time: {duration_min} minutes")
except (KeyError, IndexError):
st.error("Received a response but couldn't parse travel time.")
st.markdown("**Response from OpenRouteService:**")
st.json(result)
else:
st.error(f"OpenRouteService API error: {response.status_code}")
try:
st.json(response.json())
except:
st.write(response.text)
# ✅ Weather from OpenWeatherMap
weather_url = "https://api.openweathermap.org/data/2.5/weather"
weather_params = {
"lat": src_coords[0],
"lon": src_coords[1],
"appid": OPENWEATHER_API_KEY,
"units": "metric"
}
weather = requests.get(weather_url, params=weather_params).json()
temp = weather.get("main", {}).get("temp", "N/A")
st.info(f"🌡️ Current Temperature: {temp}°C")
# ✅ Air Quality Index from OpenWeatherMap
aqi_url = "https://api.openweathermap.org/data/2.5/air_pollution"
aqi_params = {
"lat": src_coords[0],
"lon": src_coords[1],
"appid": OPENWEATHER_API_KEY
}
aqi_data = requests.get(aqi_url, params=aqi_params).json()
aqi = aqi_data.get("list", [{}])[0].get("main", {}).get("aqi", "N/A")
aqi_levels = {
1: "Good",
2: "Fair",
3: "Moderate",
4: "Poor",
5: "Very Poor"
}
st.info(f"🌀 Air Quality Index: {aqi} - {aqi_levels.get(aqi, 'Unknown')}")
# ✅ Traffic News via RSS Feed
st.subheader("📰 Traffic-Related News")
rss_url = "https://www.rssmix.com/u/17853882/rss.xml" # Replace with your preferred traffic-related feed
feed = feedparser.parse(rss_url)
count = 0
for entry in feed.entries:
if any(keyword in entry.title.lower() for keyword in ["traffic", "accident", "road", "construction"]):
st.markdown(f"[{entry.title}]({entry.link})")
count += 1
if count == 0:
st.write("No recent traffic-related updates found.")
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