diff --git a/TxyNotebook.py b/TxyNotebook.py
index b1de67f..d943b25 100644
--- a/TxyNotebook.py
+++ b/TxyNotebook.py
@@ -1,3 +1,16 @@
+# /// script
+# requires-python = ">=3.13"
+# dependencies = [
+#     "beautifulsoup4>=4.14.3",
+#     "marimo>=0.19.10",
+#     "matplotlib>=3.10.8",
+#     "numpy>=2.4.2",
+#     "pyzmq>=27.1.0",
+#     "requests>=2.32.5",
+#     "scipy>=1.17.1",
+# ]
+# ///
+
 import marimo
 
 __generated_with = "0.19.11"
@@ -81,10 +94,10 @@ def _(fsolve, get_antoine_coefficient, np, plt, raoult_law_kvalue):
     P = 1.01325  # Pressure in bar
     Tguess = 350  # K
     propane = get_antoine_coefficient('propane', Tguess)
-    toluene = get_antoine_coefficient('toluene', Tguess)
-    antoineCoefs = np.array([propane[0:3], toluene[0:3]])
+    benzene = get_antoine_coefficient('benzene', Tguess) #changing the title to match toluene -> benzene
+    antoineCoefs = np.array([propane[0:3], benzene[0:3]])
     T_soln = []
-    x_prop = np.linspace(0, 1)
+    x_prop = np.linspace(0, 1, 50) #make curve smoother
     y_prop = []
     for z_prop in x_prop:
         z = [z_prop, 1 - z_prop]
@@ -97,11 +110,13 @@ def resfun(T):
         K = raoult_law_kvalue(T, P, antoineCoefs)
         y = K * z
         y_prop.append(y[0])
+
+
     plt.plot(y_prop, T_soln, label='Y_prop')
     plt.plot(x_prop, T_soln, label='X_prop')
     plt.xlabel('$x_{prop}$, $y_{prop}$')
     plt.ylabel('Temperature (K)')
-    plt.title('T-x-y of propane and toluene')
+    plt.title('T-x-y of propane and benzene at 1.01325 bar')
     plt.legend(loc='upper right')
     return