My Project 3: Building a Weather App with Python + Streamlit

Source: Dev.to

1. Project Overview

• Enter a city name
• Fetch live weather using wttr.in
• View temperature, condition, humidity
• Available as a console script (weather.py) or a Streamlit web UI (weather_streamlit.py)

Simple, clean, and useful — perfect for Python practice.

2. API Used: wttr.in

wttr.in was chosen because it:

• Requires no signup
• Returns JSON easily
• Works well for quick projects

3. Console Version (weather.py)

Key Features

• Requests weather using the requests library
• Shows temperature, weather description, and humidity
• Gracefully handles errors

Code

import requests

city = input("Enter city name: ")

url = f"https://wttr.in/{city}?format=j1"
response = requests.get(url)

if response.status_code != 200:
    print("Error fetching weather data.")
    exit()

data = response.json()
current = data["current_condition"][0]

print("=== Weather Report ===")
print("City:", city)
print("Temperature:", current["temp_C"], "°C")
print("Weather:", current["weatherDesc"][0]["value"])
print("Humidity:", current["humidity"], "%")

4. Streamlit Web Version (weather_streamlit.py)

Why Streamlit?

• Clean web UI
• User‑friendly city input
• Clear error messages
• Styled weather data output

Code

import streamlit as st
import requests

st.title("🌤️ Sabin's Weather App")

city = st.text_input("Enter city name:", "Chur")

if st.button("Check Weather"):
    url = f"https://wttr.in/{city}?format=j1"
    response = requests.get(url)

    if response.status_code != 200:
        st.error("Error fetching weather data.")
    else:
        data = response.json()
        current = data["current_condition"][0]

        temp = current["temp_C"]
        desc = current["weatherDesc"][0]["value"]
        humidity = current["humidity"]

        st.subheader(f"Weather in {city}")
        st.write(f"🌡 Temperature: **{temp}°C**", unsafe_allow_html=True)
        st.write(f"☁ Condition: **{desc}**", unsafe_allow_html=True)
        st.write(f"💧 Humidity: **{humidity}%**", unsafe_allow_html=True)

5. How to Run

Console Version

python3 weather.py

Streamlit Version

pip install streamlit
streamlit run weather_streamlit.py

Streamlit will automatically open a browser window for the web UI.

6. What I Learned

• Making API requests with requests
• Parsing JSON responses
• Building an interactive UI with Streamlit
• Error handling for network responses
• Converting a console script into a web app

7. Future Improvements

• Add weather icons
• Show hourly + weekly forecast
• Support multiple languages
• Add background themes (sunny, cloudy, rainy)
• Allow saving favorite cities