Openweathermap Development Tutorials, Guides & Insights

Overview

In this tutorial, we’ll create a voice-controlled AI assistant using Python. This assistant will respond to voice commands, perform web searches, tell the weather, read emails, and even manage your daily tasks. It’s a great project to explore natural language processing, speech recognition, and automation with Python.

Create a new file lib/services/weather_service.dart to handle API requests:

import 'dart:convert';
import 'package:http/http.dart' as http;
import '../models/weather.dart';

class WeatherService {
  final String apiKey = 'YOUR_API_KEY';
  final String baseUrl = 'https://api.openweathermap.org/data/2.5/weather';

  Future<Weather> fetchWeather(String city) async {
    final response = await http.get(Uri.parse('$baseUrl?q=$city&appid=$apiKey&units=metric'));

    if (response.statusCode == 200) {
      return Weather.fromJson(json.decode(response.body));
    } else {
      throw Exception('Failed to load weather data');
    }
  }
}