Tweak ipynb directions

notebooks/introduction.ipynb

@@ -130,7 +130,7 @@
    "source": [
     "# Adding Interactivity\n",
     "\n",
-    "Components often need to change what’s on the screen as a result of an interaction. For example, typing into the form should update the input field, clicking a “Comment” button should bring up a text input field, clicking “Buy” should put a product in the shopping cart. Components need to “remember” things like the current input value, the current image, the shopping cart. In ReactPy, this kind of component-specific memory is created and updated with a “hook” called use_state() that creates a state variable and state setter respectively:\n",
+    "Components often need to change what’s on the screen as a result of an interaction. For example, typing into the form should update the input field, and clicking a “Comment” button should bring up a text input field, clicking “Buy” should put a product in the shopping cart. Components need to “remember” things like the current input value, the current image, and the shopping cart. In ReactPy, this kind of component-specific memory is created and updated with a “hook” called use_state() that creates a state variable and state setter respectively:\n",
     "\n",
     "<a href=\"https://reactpy.dev/docs/guides/adding-interactivity/index.html\" target=\"_blank\"><button>Read More!</button></a>"
    ]
@@ -186,7 +186,7 @@
    "source": [
     "# Using ReactPy With Jupyter Widgets\n",
     "\n",
-    "While you can use ReactPy components independently, it may also be useful to integrate them with the rest of the Jupyter Widget ecosystem. Let's consider an ReactPy component that responds to and displays changes from an `ipywidgets.IntSlider`. The ReactPy component will need to accept an `IntSlider` instance as one of its arguments, declare state that will track the slider's value, and register a lister that will update that state via the slider's `IntSlider.observe()` method using an [\"effect\"](https://reactpy.dev/docs/reference/hooks-api.html#use-effect):"
+    "While you can use ReactPy components independently, it may also be useful to integrate them with the rest of the Jupyter Widget ecosystem. Let's consider a ReactPy component that responds to and displays changes from an `ipywidgets.IntSlider`. The ReactPy component will need to accept an `IntSlider` instance as one of its arguments, declare state that will track the slider's value, and register a lister that will update that state via the slider's `IntSlider.observe()` method using an [\"effect\"](https://reactpy.dev/docs/reference/hooks-api.html#use-effect):"
    ]
   },
   {
@@ -270,7 +270,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "It's worth noting that, while ReactPy can be used with Jupyter Widgets, the reverse is not true. That is, **you cannot using a Jupyter Widget inside an ReactPy component**. If this is a capability you would find useful, please [start a discussion](https://github.com/reactive-python/reactpy/discussions). The ReactPy team would be very interested to hear how allowing Jupyter Widgets to be used with ReactPy could facilitate your work."
+    "It's worth noting that, while ReactPy can be used with Jupyter Widgets, the reverse is not true. That is, **you cannot use a Jupyter Widget inside a ReactPy component**. If this is a capability you would find useful, please [start a discussion](https://github.com/reactive-python/reactpy/discussions). The ReactPy team would be very interested to hear how allowing Jupyter Widgets to be used with ReactPy could facilitate your work."
    ]
   },
   {