code changed

app.py

@@ -2,55 +2,55 @@ import streamlit as st
 import requests
 import pandas as pd
 
-# Set the FastAPI base URL
-API_URL="https://tharu22-world-population.hf.space"
-# Streamlit app title
-st.title("World Population ")
-
-# Load the data
-file_path ="world_population.csv"
-df = pd.read_csv(file_path)
-
-# Streamlit app
-def main():
-    st.title("World Population Explorer 🌍")
-
-    # Sidebar for continent selection
-st.sidebar.header("Select a Continent")
-continent_list = df['Continent'].unique().tolist()
-selected_continent = st.sidebar.selectbox("Choose a continent", continent_list)
-
-if selected_continent:
-        # Filter data for the selected continent
-        continent_data = df[df['Continent'] == selected_continent]
-
-        # Calculate statistics
-        max_population = continent_data['Population'].max()
-        min_population = continent_data['Population'].min()
-        max_country = continent_data.loc[continent_data['Population'].idxmax()]['Country']
-        min_country = continent_data.loc[continent_data['Population'].idxmin()]['Country']
-        average_population = continent_data['Population'].mean()
-        total_area = continent_data['Area'].sum()
-        total_population = continent_data['Population'].sum()
-        continent_density = total_population / total_area
 
-        # Display results
-        st.header(f"Statistics for {selected_continent}")
-
-        st.subheader("Maximum Population")
-        st.write(f"The maximum population in {selected_continent} is **{max_population}** in **{max_country}**.")
-
-        st.subheader("Minimum Population")
-        st.write(f"The minimum population in {selected_continent} is **{min_population}** in **{min_country}**.")
-
-        st.subheader("Average Population")
-        st.write(f"The average population in {selected_continent} is **{average_population:.2f}**.")
-
-        st.subheader("Total Area")
-        st.write(f"The total area of {selected_continent} is **{total_area}** square kilometers.")
-
-        st.subheader("Total Population")
-        st.write(f"The total population of {selected_continent} is **{total_population}**.")
+# Redirect /docs to the main page
+if st.experimental_get_query_params().get("page", [""])[0] == "docs":
+    st.error("Page not found. Redirecting to the main dashboard...")
+    st.experimental_set_query_params(page="")
+    st.experimental_rerun()
+    
+# Set the FastAPI base URL
+API_URL = "https://tharu22-world-population.hf.space"
 
-        st.subheader("Population Density")
-        st.write(f"The population density of {selected_continent} is **{continent_density:.2f}** people per square kilometer.")
+# 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']:,})"
+        )
+
+        # countries_data=data['countries']
+        # country_df = pd.DataFrame(countries_data)
+        # st.subheader(f"Population of Countries in {data['continent']}")
+        # st.bar_chart(country_df.set_index("Country"))z
+    else:
+        # Handle errors
+        st.error(f"Error: {response.json()['detail']}")