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Procfile.txt

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+web: sh setup.sh && streamlit weather_app.py

README.md

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----
-title: Streamlit Weather
-emoji: 📊
-colorFrom: yellow
-colorTo: red
-sdk: streamlit
-sdk_version: 1.19.0
-app_file: app.py
-pinned: false
-license: apache-2.0
----
-
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+"# Streamlit_weather" 

requirements.txt

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+streamlit==0.85.1
+requests==2.26.0
+pandas==1.3.3
+matplotlib==3.4.3

setup.sh.txt

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+mkdir -p ~/.streamlit/
+echo "[general]
+email = \"rahulmishak2323@gmail.com\"
+" > ~/.streamlit/credentials.toml
+echo "[server]
+headless = true
+port = $PORT
+enableCORS = false
+" > ~/.streamlit/config.toml

weather_app.py

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+# -*- coding: utf-8 -*-
+"""weather_app.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1aV336T0-srt6cN6YF08474iTme_3yDwi
+"""
+
+#pip install streamlit
+
+import streamlit as st
+import requests
+import pandas as pd
+import random
+import seaborn as sns
+import matplotlib.pyplot as plt
+import time
+
+# Geocoding API credentials
+geocoding_api_key = 'eac461277beb2ad0bf0b0b629a05e04d'
+
+# Function to get latitude and longitude coordinates for a given location
+def geocode_location(location):
+    # Geocoding API request
+    url = f'http://api.positionstack.com/v1/forward?access_key={geocoding_api_key}&query={location}'
+    response = requests.get(url)
+    data = response.json()
+
+    if 'data' in data and len(data['data']) > 0:
+        result = data['data'][0]
+        latitude = result['latitude']
+        longitude = result['longitude']
+        return latitude, longitude
+    else:
+        return None, None
+
+# Set page configuration
+st.set_page_config(page_title='Weather Forecast', page_icon=':partly_sunny:')
+
+# Set application layout
+st.title('Weather Forecast')
+col1, col2 = st.columns([2, 3])
+
+# Get user input for location
+location = col1.text_input('Enter a location')
+latitude, longitude = geocode_location(location)
+
+if latitude and longitude:
+    # Make a request to the Open-Meteo API
+    url = 'https://api.open-meteo.com/v1/forecast'
+    params = {
+        'latitude': latitude,
+        'longitude': longitude,
+        'current_weather': 'true',
+        'hourly': 'temperature_2m,relativehumidity_2m,windspeed_10m'
+    }
+
+    response = requests.get(url, params=params)
+    data = response.json()
+
+    # Extract current weather information
+    current_weather = data['current_weather']
+    temperature = current_weather['temperature']
+    weather_code = current_weather['weathercode']
+    windspeed = current_weather['windspeed']
+    wind_direction = current_weather['winddirection']
+
+    # Extract hourly forecast information
+    hourly_forecast = data['hourly']
+    forecast_times = hourly_forecast['time']
+    temperatures = hourly_forecast['temperature_2m']
+    relative_humidity = hourly_forecast['relativehumidity_2m']
+    windspeeds = hourly_forecast['windspeed_10m']
+
+    # Convert forecast data to a DataFrame
+    forecast_data = pd.DataFrame({
+        'Time': forecast_times,
+        'Temperature (°C)': temperatures,
+        'Relative Humidity (%)': relative_humidity,
+        'Windspeed (m/s)': windspeeds
+    })
+
+    # Display current weather information
+    col2.subheader('Current Weather')
+    col2.write(f'Location: {location}')
+    col2.write(f'Temperature: {temperature}°C')
+    col2.write(f'Weather Code: {weather_code}')
+    col2.write(f'Windspeed: {windspeed} m/s')
+    col2.write(f'Wind Direction: {wind_direction}°')
+
+    # Display interactive DataFrame using Streamlit's data table
+    col2.subheader('Hourly Forecast')
+    col2.dataframe(forecast_data)
+
+    # Add line charts to visualize temperature and humidity
+    col2.subheader('Temperature and Humidity')
+    col2.line_chart(forecast_data[['Temperature (°C)', 'Relative Humidity (%)']])
+
+    # Add a bar chart to visualize windspeed
+    col2.subheader('Windspeed')
+    col2.bar_chart(forecast_data['Windspeed (m/s)'])
+
+    # Add correlation chart
+    col2.subheader('Correlation Chart')
+    correlation = forecast_data[['Temperature (°C)', 'Relative Humidity (%)', 'Windspeed (m/s)']].corr()
+    fig, ax = plt.subplots()
+    ax = sns.heatmap(correlation, annot=True, cmap='coolwarm', square=True)
+    col2.pyplot(fig)
+
+    # Add live weather updates
+    col2.subheader('Live Weather Updates')
+    col2.write('Updating every 10 seconds...')
+    live_update = col2.empty()
+
+    while True:
+        # Make a new request for live weather updates
+        response = requests.get(url, params=params)
+        data = response.json()
+        current_weather = data['current_weather']
+        temperature = current_weather['temperature']
+        windspeed = current_weather['windspeed']
+
+        # Update the live weather updates section
+        live_update.write(f'Temperature: {temperature}°C')
+        live_update.write(f'Windspeed: {windspeed} m/s')
+        live_update.write('---')
+        time.sleep(120)  # Wait for 120 seconds before the next update
+
+    # Add export to CSV and JSON buttons
+    col2.subheader('Export Data')
+    if col2.button('Export to CSV'):
+        forecast_data.to_csv('forecast_data.csv', index=False)
+        col2.write('Data exported to forecast_data.csv')
+    if col2.button('Export to JSON'):
+        forecast_data.to_json('forecast_data.json', orient='records')
+        col2.write('Data exported to forecast_data.json')
+else:
+    col2.warning('Invalid location. Please enter a valid location.')
+