changed con

app.py

@@ -1,50 +1,44 @@
 import streamlit as st
-import requests
 import pandas as pd
 
-# Redirect /docs to the main page
-# if st.query_params.get("page", "") == "docs":
-#     st.error("Page not found. Redirecting to the main dashboard...")
-#     st.query_params["page"] = ""
-#     st.rerun()
-    
-# Set the FastAPI base URL
-API_URL = "https://tharu22-world-population.hf.space"
-
-# Streamlit app title
-st.title("World Population Dashboard")
-
-# Sidebar filter for continents
-st.sidebar.header("Filter")
-selected_continent = st.sidebar.selectbox(
-    "Select the Continent:",
-    ['Asia', 'Africa', 'North America', 'South America', 'Europe', 'Oceania']
-)
-
-# Fetch data from the FastAPI endpoint
-if st.sidebar.button("Get Data"):
-    # Call FastAPI to get continent data
-    response = requests.get(f"{API_URL}/continent/{selected_continent}")
+# File path (modify as needed)
+file_path = "world_population.csv"
+
+# Load dataset
+df = pd.read_csv(file_path)
+
+# Streamlit UI
+st.title("🌍 World Population Dashboard")
+
+# Sidebar filter
+st.sidebar.header("Select a Continent")
+continents = df["Continent"].unique()
+selected_continent = st.sidebar.selectbox("Choose Continent:", continents)
+
+# Processing Data
+max_population = df.groupby("Continent")["Population"].max()
+min_population = df.groupby("Continent")["Population"].min()
+max_country = df.loc[df.groupby("Continent")["Population"].idxmax(), ["Continent", "Country"]]
+min_country = df.loc[df.groupby("Continent")["Population"].idxmin(), ["Continent", "Country"]]
+average_population = df.groupby("Continent")["Population"].mean()
+total_area = df.groupby("Continent")["Area"].sum()
+total_population = df.groupby("Continent")["Population"].sum()
+population_density = total_population / total_area
+
+# Display results for selected continent
+if selected_continent:
+    st.header(f"🌎 {selected_continent} Statistics")
+
+    # Population Metrics
+    st.metric("📈 Maximum Population", f"{max_population[selected_continent]:,} ({max_country[max_country['Continent'] == selected_continent]['Country'].values[0]})")
+    st.metric("📉 Minimum Population", f"{min_population[selected_continent]:,} ({min_country[min_country['Continent'] == selected_continent]['Country'].values[0]})")
+    st.metric("📊 Average Population", f"{average_population[selected_continent]:,.0f}")
     
-    if response.status_code == 200:
-        data = response.json()
-        st.write(data)
-
-        # Display the continent information
-        st.header(f"Data of {data['continent']}")
-        st.metric("Total Population", f"{data['total_population']:,}")
-        st.metric("Total Area (sq km)", f"{data['total_area']:,}")
-        st.metric("Population Density", f"{data['continent_population_density']:.2f}")
-        st.subheader("Population Highlights")
-        st.write(
-            f"Max Population :{data['max_population']['country']} "
-            f"({data['max_population']['population']:,})"
-        )
-        # Country with min population
-        st.write(
-            f"Min Population:{data['min_population']['country']} "
-            f"({data['min_population']['population']:,})"
-        )
-    else:
-        # Handle errors
-        st.error(f"Error: {response.json()['detail']}")
+    # Other Metrics
+    st.metric("📏 Total Area", f"{total_area[selected_continent]:,} sq km")
+    st.metric("👥 Total Population", f"{total_population[selected_continent]:,}")
+    st.metric("🏠 Population Density", f"{population_density[selected_continent]:.2f} people/sq km")
+
+# Footer
+st.markdown("🚀 Built with Streamlit")
+