Update app.py

app.py

@@ -2,36 +2,17 @@ import dash
 from dash import dcc, html, Input, Output
 import plotly.graph_objs as go
 import requests
-from datetime import datetime, timedelta
-from flask import Flask, render_template, request, jsonify
-from weather_model import get_weather_data
+from datetime import datetime
+from weather_model import get_weather_data  # Assuming this file exists
 
 # Initialize Dash app
 app = dash.Dash(__name__)
 app.title = "Weather Forecast Dashboard"
 
-# API Key for OpenWeatherMap (replace with your own)
+# Replace with your OpenWeatherMap API key
 API_KEY = "53d50455f91b6bc3c920959e2954576d"
 
-@app.route('/')
-def index():
-    return render_template('index.html')
-
-@app.route('/weather', methods=['GET'])
-def weather():
-    city = request.args.get('city')
-    days = int(request.args.get('days', 5))
-
-    if not city:
-        return jsonify({'error': 'Please provide a city name'}), 400
-
-    weather_data = get_weather_data(city, days, API_KEY)
-    if not weather_data:
-        return jsonify({'error': 'City not found or API error'}), 404
-
-    return jsonify(weather_data)
-
-# Layout with advanced UI
+# Layout
 app.layout = html.Div([
     html.Div([
         html.H1("Weather Forecast Dashboard", style={'textAlign': 'center', 'color': '#FFFFFF'}),
@@ -93,7 +74,7 @@ def update_dashboard(n_clicks, city, days):
                            yaxis={'title': 'Temperature (°C)'}, template='plotly_dark')
     }
 
-    # Precipitation Graph (Rain/Thunderstorm)
+    # Precipitation Graph
     precip = [d['precipitation'] for d in weather_data['forecast']]
     precip_fig = {
         'data': [go.Bar(x=dates, y=precip, name='Precipitation')],