message

app.py

@@ -1,44 +1,51 @@
 import streamlit as st
+import requests
 import pandas as pd
 
-# File path (modify as needed)
-file_path = "C:/java lab/python/pandas/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}")
+# 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()
     
-    # 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")
+# 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}")
+    
+    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']}")