Enhance readability and usability of demo_basic notebook

.gitignore

@@ -2,3 +2,4 @@
 __pycache__/
 *.pyc
 .DS_Store
+.idea

examples/demo_basic.ipynb

@@ -3,23 +3,38 @@
   {
    "cell_type": "markdown",
    "metadata": {},
+   "source": "# LlamaParse Basic Usage"
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
    "source": [
-    "# LlamaParse Usage"
+    "## Setup\n",
+    "\n",
+    "First, let's set up our environment with the necessary imports and initializations:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
+   "metadata": {
+    "jupyter": {
+     "is_executing": true
+    }
+   },
    "source": [
     "%pip install llama-index llama-parse"
-   ]
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": "Now let's fetch some text content to use in our examples. We'll use the text from Attention is All You Need."
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
+   "cell_type": "code",
    "outputs": [
     {
      "name": "stdout",
@@ -39,15 +54,14 @@
      ]
     }
    ],
-   "source": [
-    "!wget \"https://arxiv.org/pdf/1706.03762.pdf\" -O \"./attention.pdf\""
-   ]
+   "execution_count": null,
+   "source": "!wget \"https://arxiv.org/pdf/1706.03762.pdf\" -O \"./attention.pdf\""
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
+   "cell_type": "code",
    "outputs": [],
+   "execution_count": null,
    "source": [
     "# llama-parse is async-first, running the sync code in a notebook requires the use of nest_asyncio\n",
     "import nest_asyncio\n",
@@ -59,6 +73,15 @@
     "os.environ[\"LLAMA_CLOUD_API_KEY\"] = \"llx-...\""
    ]
   },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Example 1: PDF to plain text\n",
+    "\n",
+    "Let's demonstrate Llama Parse parsing abilities from PDF to plaintext."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -106,6 +129,15 @@
     "print(documents[0].text[6000:7000])"
    ]
   },
+  {
+   "metadata": {},
+   "cell_type": "markdown",
+   "source": [
+    "## Example 2: PDF to Markdown\n",
+    "\n",
+    "Let's demonstrate Llama Parse parsing abilities from PDF to plaintext."
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,