Create app.py

app.py

@@ -0,0 +1,63 @@
+import requests
+import gradio as gr
+import os
+import pandas as pd
+
+# Predefined data for company headquarters and their latitude and longitude
+locations = [
+    {"Company": "Apple", "Location": "Cupertino, California, USA", "Latitude": 37.3349, "Longitude": -122.0090},
+    {"Company": "Microsoft", "Location": "Redmond, Washington, USA", "Latitude": 47.6424, "Longitude": -122.1362},
+    {"Company": "NVIDIA", "Location": "Santa Clara, California, USA", "Latitude": 37.3706, "Longitude": -121.9669},
+    {"Company": "Alphabet (Google)", "Location": "Mountain View, California, USA", "Latitude": 37.4219, "Longitude": -122.0840},
+    {"Company": "Amazon", "Location": "Seattle, Washington, USA", "Latitude": 47.6062, "Longitude": -122.3321},
+    {"Company": "Saudi Aramco", "Location": "Dhahran, Eastern Province, Saudi Arabia", "Latitude": 26.3032, "Longitude": 50.1503},
+    {"Company": "Meta Platforms (Facebook)", "Location": "Menlo Park, California, USA", "Latitude": 37.4848, "Longitude": -122.1484},
+    {"Company": "TSMC", "Location": "Hsinchu, Taiwan", "Latitude": 24.7851, "Longitude": 121.0177},
+    {"Company": "Berkshire Hathaway", "Location": "Omaha, Nebraska, USA", "Latitude": 41.2565, "Longitude": -95.9345},
+    {"Company": "Eli Lilly", "Location": "Indianapolis, Indiana, USA", "Latitude": 39.7684, "Longitude": -86.1581},
+    {"Company": "Tesla", "Location": "Palo Alto, California, USA", "Latitude": 37.3947, "Longitude": -122.1503},
+    {"Company": "Broadcom", "Location": "San Jose, California, USA", "Latitude": 37.3382, "Longitude": -121.8863},
+    {"Company": "Novo Nordisk", "Location": "Bagsværd, Denmark", "Latitude": 55.7500, "Longitude": 12.4500},
+    {"Company": "JPMorgan Chase", "Location": "New York City, New York, USA", "Latitude": 40.7128, "Longitude": -74.0060},
+    {"Company": "Walmart", "Location": "Bentonville, Arkansas, USA", "Latitude": 36.3729, "Longitude": -94.2088}
+]
+
+# Function to get carbon intensity for a specific latitude and longitude
+def get_carbon_intensity(lat, lon):
+    api_token = os.getenv('API_TOKEN')  # Get API token from environment variables
+    url = f'https://api.electricitymap.org/v3/carbon-intensity/latest?lat={lat}&lon={lon}'
+    headers = {
+        'auth-token': api_token
+    }
+    
+    response = requests.get(url, headers=headers)
+    
+    if response.status_code == 200:
+        data = response.json()
+        carbon_intensity = data.get("carbonIntensity", "N/A")
+        return carbon_intensity
+    else:
+        return f"Failed to retrieve data: {response.status_code}, {response.text}"
+
+# Function to handle multiple inputs
+def get_all_carbon_intensities():
+    results = []
+    for location in locations:
+        lat = location["Latitude"]
+        lon = location["Longitude"]
+        carbon_intensity = get_carbon_intensity(lat, lon)
+        location["Carbon Intensity"] = carbon_intensity
+        results.append(location)
+    
+    df = pd.DataFrame(results)
+    return df
+
+# Gradio interface
+iface = gr.Interface(fn=get_all_carbon_intensities, 
+                     inputs=[], 
+                     outputs=gr.DataFrame(),
+                     title="Company Headquarters Carbon Intensity",
+                     description="Get the latest carbon intensity for predefined company headquarters.",
+                     footer="Made by Venkataraghavan\nEmail: [email protected]\nLinkedIn: https://www.linkedin.com/in/venkataraghavansrinivasan/")
+
+iface.launch()