First commit

app.py

@@ -2,52 +2,55 @@ import streamlit as st
 import requests
 import pandas as pd
 
-# Function to get data from FastAPI
-def get_continent_population(continent_name):
-    url = "https://kabila22-backend.hf.space"
-    response = requests.get(url)
+
+# 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://kabila22-backend.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:
-        return response.json()
+        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:
-        st.error("Failed to retrieve data")
-        return None
-
-# List of continents
-continents = ["Africa", "Asia", "Europe", "North America", "Oceania", "South America"]
-
-# Create Streamlit dropdown box
-st.title("World Population by Continent")
-selected_continent = st.selectbox("Select a continent:", continents)
-
-# Get data for selected continent
-continent_data = get_continent_population(selected_continent)
-
-if continent_data:
-    # Display population data in a table
-    st.subheader(f"Population Data for {selected_continent}")
-
-    # Ensure all values are present and convert them to numeric if necessary
-    population_data = {
-        "Data": ["Total Population", "Total Area", "Population Density", "Max Population", "Min Population", "Avg Population"],
-        "Result": [
-            continent_data.get("total_population", 0),
-            continent_data.get("total_area_km2", 0),
-            continent_data.get("continent_population_density", 0),
-            continent_data["max_population"].get("population", 0),
-            continent_data["min_population"].get("population", 0),
-            continent_data.get("avg_population", 0)
-        ],
-        "Country": [
-            "",
-            "",
-            "",
-            continent_data["max_population"]["country"],
-            continent_data["min_population"]["country"],
-            ""
-        ]
-    }
-
-    df = pd.DataFrame(population_data)
-
-    # Display the data in a table
-    st.table(df)
+        # Handle errors
+        st.error(f"Error: {response.json()['detail']}")