Update app.py

app.py

@@ -1,57 +1,70 @@
 import streamlit as st
 import pandas as pd
 
+# Sidebar for Navigation
+with st.sidebar:
+    st.title("Navigation")
+    st.markdown("### Select an Option:")
+    selected = st.radio("", ["Temperature Converter", "Conversion History"])
+
 # Title and Description
-st.title("Temperature Converter")
-st.write("Convert temperatures between Celsius, Fahrenheit, and Kelvin.")
-
-# User Inputs
-col1, col2 = st.columns(2)
-
-with col1:
-    temperature_value = st.number_input("Enter temperature value:", value=0.0, format="%.2f")
-    input_unit = st.selectbox("Select input unit:", ["Celsius", "Fahrenheit", "Kelvin"])
-
-with col2:
-    output_unit = st.selectbox("Select output unit:", ["Celsius", "Fahrenheit", "Kelvin"])
-
-# Conversion Function
-def convert_temperature(value, from_unit, to_unit):
-    if from_unit == to_unit:
-        return value
-    elif from_unit == "Celsius":
-        if to_unit == "Fahrenheit":
-            return (value * 9/5) + 32
-        elif to_unit == "Kelvin":
-            return value + 273.15
-    elif from_unit == "Fahrenheit":
-        if to_unit == "Celsius":
-            return (value - 32) * 5/9
-        elif to_unit == "Kelvin":
-            return (value - 32) * 5/9 + 273.15
-    elif from_unit == "Kelvin":
-        if to_unit == "Celsius":
-            return value - 273.15
-        elif to_unit == "Fahrenheit":
-            return (value - 273.15) * 9/5 + 32
-
-# Perform Conversion
-converted_value = convert_temperature(temperature_value, input_unit, output_unit)
-
-# Display Result
-st.metric(label=f"Converted Temperature ({output_unit})", value=f"{converted_value:.2f}")
-
-# Additional Feature: Conversion History
-if "history" not in st.session_state:
-    st.session_state["history"] = []
-
-st.session_state["history"].append({
-    "Input Value": temperature_value,
-    "Input Unit": input_unit,
-    "Output Unit": output_unit,
-    "Converted Value": converted_value
-})
-
-if st.checkbox("Show Conversion History"):
-    history_df = pd.DataFrame(st.session_state["history"])
-    st.dataframe(history_df)
+st.title("🌡️ Temperature Converter")
+st.write("Easily convert temperatures between Celsius, Fahrenheit, and Kelvin with an intuitive interface.")
+
+if selected == "Temperature Converter":
+    st.markdown("### Input Temperature Details")
+    col1, col2 = st.columns(2)
+
+    with col1:
+        temperature_value = st.number_input("🔢 Enter temperature value:", value=0.0, format="%.2f")
+        input_unit = st.selectbox("📥 Select input unit:", ["Celsius", "Fahrenheit", "Kelvin"])
+
+    with col2:
+        output_unit = st.selectbox("📤 Select output unit:", ["Celsius", "Fahrenheit", "Kelvin"])
+
+    # Conversion Function
+    def convert_temperature(value, from_unit, to_unit):
+        if from_unit == to_unit:
+            return value
+        elif from_unit == "Celsius":
+            if to_unit == "Fahrenheit":
+                return (value * 9/5) + 32
+            elif to_unit == "Kelvin":
+                return value + 273.15
+        elif from_unit == "Fahrenheit":
+            if to_unit == "Celsius":
+                return (value - 32) * 5/9
+            elif to_unit == "Kelvin":
+                return (value - 32) * 5/9 + 273.15
+        elif from_unit == "Kelvin":
+            if to_unit == "Celsius":
+                return value - 273.15
+            elif to_unit == "Fahrenheit":
+                return (value - 273.15) * 9/5 + 32
+
+    # Perform Conversion
+    converted_value = convert_temperature(temperature_value, input_unit, output_unit)
+
+    # Display Result
+    st.metric(label=f"Converted Temperature ({output_unit})", value=f"{converted_value:.2f}", delta=None)
+
+elif selected == "Conversion History":
+    if "history" not in st.session_state:
+        st.session_state["history"] = []
+
+    # Add New Conversion to History
+    if "temperature_value" in locals():
+        st.session_state["history"].append({
+            "Input Value": temperature_value,
+            "Input Unit": input_unit,
+            "Output Unit": output_unit,
+            "Converted Value": converted_value
+        })
+
+    # Display Conversion History
+    st.markdown("### Conversion History")
+    if len(st.session_state["history"]) > 0:
+        history_df = pd.DataFrame(st.session_state["history"])
+        st.dataframe(history_df)
+    else:
+        st.info("No conversion history available yet.")