Delete app.py

app.py

@@ -1,63 +0,0 @@
-import streamlit as st
-import requests
-import pandas as pd
-import altair as alt
-from datetime import datetime
-
-st.set_page_config(page_title="Climate Clock Dashboard", layout="wide")
-st.title("🌍 Real-Time Climate Clock Dashboard")
-
-# Fetch Climate Clock API data
-api_url = "https://api.climateclock.world/v2/clock"
-response = requests.get(api_url)
-data = response.json()
-clock = data["data"]["clocks"]
-
-# CO2 Budget Visualization
-co2_clock = clock["co2"]
-co2_remaining = float(co2_clock["remaining"])
-co2_rate = float(co2_clock["rate"])
-projected_years = 10
-current_year = datetime.now().year
-years = list(range(current_year, current_year + projected_years))
-remaining_values = [co2_remaining - co2_rate * i for i in range(projected_years)]
-co2_df = pd.DataFrame({'Year': years, 'Remaining CO₂ Budget (Gt)': remaining_values})
-
-st.subheader("💨 Projected CO₂ Budget Depletion (Next 10 Years)")
-co2_chart = alt.Chart(co2_df).mark_line(point=True).encode(
-    x='Year:O',
-    y='Remaining CO₂ Budget (Gt):Q',
-    tooltip=['Year', 'Remaining CO₂ Budget (Gt)']
-).properties(width=700, height=400)
-st.altair_chart(co2_chart, use_container_width=True)
-
-# Renewable Energy Progress Visualization
-renewables_clock = clock["renewables"]
-renewables_percent = float(renewables_clock["percentage"])
-renewable_df = pd.DataFrame({
-    'Type': ['Renewables', 'Others'],
-    'Percentage': [renewables_percent, 100 - renewables_percent]
-})
-
-st.subheader("⚡ Global Energy Source Share")
-renewable_chart = alt.Chart(renewable_df).mark_arc(innerRadius=50).encode(
-    theta='Percentage:Q',
-    color='Type:N',
-    tooltip=['Type', 'Percentage']
-).properties(width=400, height=400)
-st.altair_chart(renewable_chart, use_container_width=True)
-
-# Lifeline Section
-st.subheader("🌱 Lifeline Metrics")
-lifelines = clock["lifelines"]
-lifeline_data = [{'Label': l['label'], 'Value': float(l['value'])} for l in lifelines]
-lifeline_df = pd.DataFrame(lifeline_data)
-
-lifeline_chart = alt.Chart(lifeline_df).mark_bar().encode(
-    x=alt.X('Label:N', sort='-y'),
-    y='Value:Q',
-    tooltip=['Label', 'Value']
-).properties(width=700, height=400)
-st.altair_chart(lifeline_chart, use_container_width=True)
-
-st.caption("Data source: Climate Clock API (https://climateclock.world)")