Create app.py

app.py

@@ -0,0 +1,65 @@
+import pandas as pd
+import requests
+import gradio as gr
+import os
+
+# Constants
+API_URL = 'https://api.electricitymap.org/v3/power-breakdown/latest'
+API_TOKEN = os.getenv('ELECTRICITYMAP_API_TOKEN')
+
+# Define the data for Shell offices
+data = {
+    "Office": ["Shell Centre", "Shell House", "Shell Technology Center", "Shell India Markets Pvt Ltd", 
+               "Shell Australia", "Shell Canada", "Shell Argentina", "Shell Nigeria", "Shell China", 
+               "Shell Russia", "Shell Germany", "Shell Netherlands", "Shell South Africa", "Shell Mexico", 
+               "Shell Brazil"],
+    "Location": ["London, United Kingdom", "Singapore", "Houston, Texas, USA", "Bengaluru, India", 
+                 "Perth, Australia", "Calgary, Alberta, Canada", "Buenos Aires, Argentina", 
+                 "Lagos, Nigeria", "Beijing, China", "Moscow, Russia", "Hamburg, Germany", 
+                 "The Hague, Netherlands", "Cape Town, South Africa", "Mexico City, Mexico", 
+                 "Rio de Janeiro, Brazil"],
+    "Latitude": [51.5074, 1.3521, 29.7604, 12.9716, -31.9505, 51.0447, -34.6037, 6.5244, 
+                 39.9042, 55.7558, 53.5511, 52.0705, -33.9249, 19.4326, -22.9068],
+    "Longitude": [-0.1278, 103.8198, -95.3698, 77.5946, 115.8605, -114.0719, -58.3816, 
+                  3.3792, 116.4074, 37.6173, 9.9937, 4.3007, 18.4241, -99.1332, -43.1729]
+}
+
+df = pd.DataFrame(data)
+
+# Function to make API request
+def get_power_breakdown(lat, lon):
+    headers = {'auth-token': API_TOKEN}
+    params = {'lat': lat, 'lon': lon}
+    response = requests.get(API_URL, headers=headers, params=params)
+    if response.status_code == 200:
+        return response.json().get('fossilFreePercentage', 'N/A')
+    else:
+        return 'Error'
+
+# Define the function to fetch fossil-free percentage for all Shell offices
+def fetch_fossil_free_percentages():
+    results = []
+    for index, row in df.iterrows():
+        lat, lon = row["Latitude"], row["Longitude"]
+        fossil_free_percentage = get_power_breakdown(lat, lon)
+        results.append({
+            "Office": row["Office"],
+            "Location": row["Location"],
+            "Latitude": row["Latitude"],
+            "Longitude": row["Longitude"],
+            "Fossil-Free Percentage": fossil_free_percentage
+        })
+    return pd.DataFrame(results)
+
+# Define Gradio interface
+def show_fossil_free_table():
+    result_df = fetch_fossil_free_percentages()
+    return result_df
+
+gr_interface = gr.Interface(fn=show_fossil_free_table, 
+                            inputs=None, 
+                            outputs="dataframe", 
+                            title="Fossil-Free Percentage for Shell Offices Globally",
+                            description="Click the button below to see the latest fossil-free energy usage percentages for Shell offices globally.")
+
+gr_interface.launch()