🌤️ Building a Weather App with Python + Streamlit (Using wttr.in API)

For my next project, I wanted to work with a public API and learn how to fetch external data in Python.
So I built a simple Weather App using wttr.in, which provides weather data without requiring an API key.

This project has two versions:

• Console Version (weather.py)


• Streamlit Web Version (weather_streamlit.py)

This small project helped me learn how to make API requests, handle JSON data, and build a clean UI with Streamlit.

🧱 1. Project Overview

The Weather App allows you to:

• Enter a city name


• Fetch live weather using wttr.in


• View temperature, condition, humidity


• Use it via console or a Streamlit web UI

Simple, clean, and useful — exactly what I want for my Python practice.

📂 Project Structure

weather_app/

│

├── weather.py               # Console version

├── weather_streamlit.py     # Streamlit version

└── README.md                 # (optional)

🌐 2. API Used: wttr.in

I chose wttr.in because it:

• Requires no signup


• Returns JSON easily


• Works well for quick projects

🖥️ 3. Console Version (weather.py)

Key features:

• Requests weather using requests library


• Shows temperature, weather description, 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?

Because Streamlit turns Python scripts into fast, interactive web apps — perfect for tools like this.

Added features:

• Clean web UI


• User-friendly city input


• 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: <strong>{temp}°C</strong>", unsafe_allow_html=True)

        st.write(f"☁ Condition: <strong>{desc}</strong>", unsafe_allow_html=True)

        st.write(f"💧 Humidity: <strong>{humidity}%</strong>", unsafe_allow_html=True)

python

⚙️ 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

• How to make API requests with requests
  


• How to parse JSON responses


• How to build an interactive UI with Streamlit


• Error handling for network responses


• How to convert a console script into a web app

🔧 7. Future Improvements

• Add weather icons


• Show hourly + weekly forecast


• Support multiple languages


• Add background theme (sunny, cloudy, rainy)


• Allow saving favorite cities