Update app.py

app.py

@@ -1,69 +1,66 @@
+import pandas as pd
 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}
-]
+# Constants
+API_URL = 'https://api.electricitymap.org/v3/power-breakdown/latest'
+API_TOKEN = os.getenv('ELECTRICITYMAP_API_TOKEN')
+
+# Define the data for company headquarters
+data = {
+    "Company": ["Apple", "Microsoft", "NVIDIA", "Alphabet (Google)", "Amazon", "Saudi Aramco", 
+                "Meta Platforms (Facebook)", "TSMC", "Berkshire Hathaway", "Eli Lilly", 
+                "Tesla", "Broadcom", "Novo Nordisk", "JPMorgan Chase", "Walmart"],
+    "Location": ["Cupertino, California, USA", "Redmond, Washington, USA", "Santa Clara, California, USA", 
+                 "Mountain View, California, USA", "Seattle, Washington, USA", "Dhahran, Eastern Province, Saudi Arabia", 
+                 "Menlo Park, California, USA", "Hsinchu, Taiwan", "Omaha, Nebraska, USA", "Indianapolis, Indiana, USA", 
+                 "Palo Alto, California, USA", "San Jose, California, USA", "Bagsværd, Denmark", 
+                 "New York City, New York, USA", "Bentonville, Arkansas, USA"],
+    "Latitude": [37.3349, 47.6424, 37.3706, 37.4219, 47.6062, 26.3032, 
+                 37.4848, 24.7851, 41.2565, 39.7684, 37.3947, 37.3382, 
+                 55.7500, 40.7128, 36.3729],
+    "Longitude": [-122.0090, -122.1362, -121.9669, -122.0840, -122.3321, 50.1503, 
+                  -122.1484, 121.0177, -95.9345, -86.1581, -122.1503, -121.8863, 
+                  12.4500, -74.0060, -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)
-    
+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:
-        data = response.json()
-        carbon_intensity = data.get("carbonIntensity", "N/A")
-        return carbon_intensity
+        return response.json().get('fossilFreePercentage', 'N/A')
     else:
-        return f"Failed to retrieve data: {response.status_code}, {response.text}"
+        return 'Error'
 
-# Function to handle multiple inputs
-def get_all_carbon_intensities():
+# Define the function to fetch fossil-free percentage for all companies
+def fetch_fossil_free_percentages():
     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
+    for index, row in df.iterrows():
+        lat, lon = row["Latitude"], row["Longitude"]
+        fossil_free_percentage = get_power_breakdown(lat, lon)
+        results.append({
+            "Company": row["Company"],
+            "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
 
-# Gradio interface
-with gr.Blocks() as iface:
-    gr.Markdown("# Company Headquarters Carbon Intensity")
-    gr.Markdown("Get the latest carbon intensity for top market cap company headquarters.")
-    output = gr.DataFrame()
-    gr.Button("Get Carbon Intensities").click(get_all_carbon_intensities, outputs=output)
-    gr.Markdown(
-        """
-        ### Made by Venkataraghavan
-        - Email: [[email protected]](mailto:[email protected])
-        - LinkedIn: [Venkataraghavan Srinivasan](https://www.linkedin.com/in/venkataraghavansrinivasan/)
-        """
-    )
+gr_interface = gr.Interface(fn=show_fossil_free_table, 
+                            inputs=None, 
+                            outputs="dataframe", 
+                            title="Fossil-Free Percentage by Company Headquarters",
+                            description="Click the button below to see the latest fossil-free energy usage percentages for all company headquarters.")
 
-iface.launch()
+gr_interface.launch()