Add application file

app.py

@@ -1,5 +1,59 @@
 import streamlit as st
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+x = st.slider('Select a value, and I'll guess your age!')
+
+def estimate_age_from_input(x):
+    try:
+        # Convert to float and get absolute value
+        x = abs(float(x))
+        
+        # Base probability of different age groups (skewed young due to internet usage)
+        # Roughly based on internet usage demographics
+        age_brackets = {
+            (13, 17): 0.15,  # Teens
+            (18, 24): 0.25,  # Young adults
+            (25, 34): 0.30,  # Early career
+            (35, 44): 0.15,  # Mid career
+            (45, 54): 0.08,  # Late career
+            (55, 64): 0.05,  # Pre-retirement
+            (65, 100): 0.02  # Retirement
+        }
+        
+        # Adjust probabilities based on input value
+        if x > 1000000 or x < -1000000:
+            # Very large/small numbers - likely young person testing limits
+            return 18
+        elif x > 10000 or x < -10000:
+            # Large numbers - probably young
+            return 22
+        elif x == 69 or x == 420 or x == 80085:
+            # Meme numbers - likely teen/young adult
+            return 16
+        elif x == 0:
+            # Default/lazy input - use median young adult age
+            return 25
+        elif x == 1:
+            # Simple input - slight skew older
+            return 28
+        elif 1 <= x <= 100:
+            # Reasonable number - use weighted distribution
+            if x <= 20:
+                return 24  # Young skew for small numbers
+            else:
+                return min(int(x * 0.8 + 15), 75)  # Scale up but cap at 75
+        else:
+            # Other numbers - use base distribution
+            import random
+            brackets = list(age_brackets.items())
+            weights = [p for _, p in brackets]
+            chosen = random.choices(brackets, weights=weights)[0][0]
+            return random.randint(chosen[0], chosen[1])
+            
+    except (ValueError, TypeError):
+        # Non-numeric input - assume young user testing system
+        return 19
+
+y = estimate_age_from_input(x)
+
+st.write(x, ' I think you're about ', y)