Update README.

README.md

@@ -91,39 +91,33 @@ python scripts/run_tests.py
 ### Example
 
 ```cpp
-#include "pocketpy.h"
+#include <pybind11/pybind11.h>
 
-using namespace pkpy;
+namespace py = pybind11;
 
-int main(){
+int main() {
-    // Create a virtual machine
+    // Start the interpreter
-    VM* vm = new VM();
+    py::scoped_interpreter guard{};
 
     // Hello world!
-    vm->exec("print('Hello world!')");
+    py::exec("print('Hello world!')");
 
     // Create a list
-    vm->exec("a = [1, 2, 3]");
+    py::exec("a = [1, 2, 3]");
 
     // Eval the sum of the list
-    PyVar result = vm->eval("sum(a)");
+    auto result = py::eval("sum(a)");
-    std::cout << "Sum of the list: "<< py_cast<int>(vm, result) << std::endl;   // 6
+    std::cout << "Sum of the list: " << result.cast<int>() << std::endl;  // 6
 
     // Bindings
-    vm->bind(vm->_main, "add(a: int, b: int)",
+    auto m = py::module_::__main__();
-      [](VM* vm, ArgsView args){
+    m.def("add", [](int a, int b) {
-        int a = py_cast<int>(vm, args[0]);
+        return a + b;
-        int b = py_cast<int>(vm, args[1]);
-        return py_var(vm, a + b);
     });
 
     // Call the function
-    PyVar f_add = vm->_main->attr("add");
+    std::cout << "Sum of 2 variables: " << m.attr("add")(1, 2).cast<int>() << std::endl;  // 10
-    result = vm->call(f_add, py_var(vm, 3), py_var(vm, 7));
-    std::cout << "Sum of 2 variables: "<< py_cast<int>(vm, result) << std::endl;   // 10
 
-    // Dispose the virtual machine
-    delete vm;
     return 0;
 }
 ```
@@ -166,7 +160,7 @@ See https://pocketpy.dev/performance/ for details.
 And these are the results of the primes benchmark on Intel i5-12400F, WSL (Ubuntu 20.04 LTS), which *roughly* reflects the performance among c++, lua, pkpy and cpython.
 
 | name    | version | time                      | file                                                                                                                              |
-| ---- | ---- | ---- | ---- |
+| ------- | ------- | ------------------------- | --------------------------------------------------------------------------------------------------------------------------------- |
 | c++     | gnu++11 | `0.104s ■□□□□□□□□□□□□□□□` | [benchmarks/primes.cpp](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.cpp) |
 | lua     | 5.3.3   | `1.576s ■■■■■■■■■□□□□□□□` | [benchmarks/primes.lua](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.lua) |
 | pkpy    | 1.2.7   | `2.385s ■■■■■■■■■■■■■□□□` | [benchmarks/primes.py](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.py)   |
@@ -175,7 +169,7 @@ And these are the results of the primes benchmark on Intel i5-12400F, WSL (Ubunt
 ## Used By
 
 |                                                                 | Description                                                              |
-|-----------------------------------------------------------------|--------------------------------------------------------------------------|
+| --------------------------------------------------------------- | ------------------------------------------------------------------------ |
 | [TIC-80](https://github.com/nesbox/TIC-80)                      | TIC-80 is a fantasy computer for making, playing and sharing tiny games. |
 | [MiniPythonIDE](https://github.com/CU-Production/MiniPythonIDE) | A python ide base on pocketpy                                            |
 | [py-js](https://github.com/shakfu/py-js)                        | Python3 externals for Max / MSP                                          |