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Lesson_2_Student.ipynb
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| 1 |
+
{
|
| 2 |
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"cells": [
|
| 3 |
+
{
|
| 4 |
+
"cell_type": "markdown",
|
| 5 |
+
"id": "6ef57eb5-2295-44fb-81d9-4351769e8f4e",
|
| 6 |
+
"metadata": {},
|
| 7 |
+
"source": [
|
| 8 |
+
"# L2: Normalizing the Content"
|
| 9 |
+
]
|
| 10 |
+
},
|
| 11 |
+
{
|
| 12 |
+
"cell_type": "markdown",
|
| 13 |
+
"id": "1138a09c-e3b2-46e0-9d42-e46a93ac534f",
|
| 14 |
+
"metadata": {},
|
| 15 |
+
"source": [
|
| 16 |
+
"<p style=\"background-color:#fff6e4; padding:15px; border-width:3px; border-color:#f5ecda; border-style:solid; border-radius:6px\"> ⏳ <b>Note <code>(Kernel Starting)</code>:</b> This notebook takes about 30 seconds to be ready to use. You may start and watch the video while you wait.</p>\n"
|
| 17 |
+
]
|
| 18 |
+
},
|
| 19 |
+
{
|
| 20 |
+
"cell_type": "code",
|
| 21 |
+
"execution_count": null,
|
| 22 |
+
"id": "4ec2430d-cac6-406e-a007-123dc97df0e2",
|
| 23 |
+
"metadata": {},
|
| 24 |
+
"outputs": [],
|
| 25 |
+
"source": [
|
| 26 |
+
"# Warning control\n",
|
| 27 |
+
"import warnings\n",
|
| 28 |
+
"warnings.filterwarnings('ignore')"
|
| 29 |
+
]
|
| 30 |
+
},
|
| 31 |
+
{
|
| 32 |
+
"cell_type": "code",
|
| 33 |
+
"execution_count": null,
|
| 34 |
+
"id": "591f213d-f54b-4c91-ae73-bcd2c7a4359e",
|
| 35 |
+
"metadata": {},
|
| 36 |
+
"outputs": [],
|
| 37 |
+
"source": [
|
| 38 |
+
"from IPython.display import JSON\n",
|
| 39 |
+
"\n",
|
| 40 |
+
"import json\n",
|
| 41 |
+
"\n",
|
| 42 |
+
"from unstructured_client import UnstructuredClient\n",
|
| 43 |
+
"from unstructured_client.models import shared\n",
|
| 44 |
+
"from unstructured_client.models.errors import SDKError\n",
|
| 45 |
+
"\n",
|
| 46 |
+
"from unstructured.partition.html import partition_html\n",
|
| 47 |
+
"from unstructured.partition.pptx import partition_pptx\n",
|
| 48 |
+
"from unstructured.staging.base import dict_to_elements, elements_to_json"
|
| 49 |
+
]
|
| 50 |
+
},
|
| 51 |
+
{
|
| 52 |
+
"cell_type": "code",
|
| 53 |
+
"execution_count": null,
|
| 54 |
+
"id": "b97be736-2166-400c-9d17-6dcb4034c9eb",
|
| 55 |
+
"metadata": {},
|
| 56 |
+
"outputs": [],
|
| 57 |
+
"source": [
|
| 58 |
+
"from Utils import Utils\n",
|
| 59 |
+
"utils = Utils()\n",
|
| 60 |
+
"\n",
|
| 61 |
+
"DLAI_API_KEY = utils.get_dlai_api_key()\n",
|
| 62 |
+
"DLAI_API_URL = utils.get_dlai_url()\n",
|
| 63 |
+
"\n",
|
| 64 |
+
"s = UnstructuredClient(\n",
|
| 65 |
+
" api_key_auth=DLAI_API_KEY,\n",
|
| 66 |
+
" server_url=DLAI_API_URL,\n",
|
| 67 |
+
")"
|
| 68 |
+
]
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"cell_type": "markdown",
|
| 72 |
+
"id": "be8a0cbd-1545-4dde-ab60-84dcdaa4a51a",
|
| 73 |
+
"metadata": {},
|
| 74 |
+
"source": [
|
| 75 |
+
"<p style=\"background-color:#fff6ff; padding:15px; border-width:3px; border-color:#efe6ef; border-style:solid; border-radius:6px\"> 💻 <b>Access Utils File and Helper Functions:</b> To access helper functions and other related files for this notebook, 1) click on the <em>\"View\"</em> option on the top menu of the notebook and then 2) click on <em>\"File Browser\"</em>. For more help, please see the <em>\"Appendix - Tips and Help\"</em> Lesson.</p>\n"
|
| 76 |
+
]
|
| 77 |
+
},
|
| 78 |
+
{
|
| 79 |
+
"cell_type": "markdown",
|
| 80 |
+
"id": "ee01e76f-3773-4611-9ad8-5f990ab23eef",
|
| 81 |
+
"metadata": {},
|
| 82 |
+
"source": [
|
| 83 |
+
"## Example Document: Medium Blog HTML Page"
|
| 84 |
+
]
|
| 85 |
+
},
|
| 86 |
+
{
|
| 87 |
+
"cell_type": "code",
|
| 88 |
+
"execution_count": null,
|
| 89 |
+
"id": "8753e8a4-859c-41eb-8b5e-101a30ed5b2d",
|
| 90 |
+
"metadata": {},
|
| 91 |
+
"outputs": [],
|
| 92 |
+
"source": [
|
| 93 |
+
"from IPython.display import Image\n",
|
| 94 |
+
"Image(filename=\"images/HTML_demo.png\", height=600, width=600)"
|
| 95 |
+
]
|
| 96 |
+
},
|
| 97 |
+
{
|
| 98 |
+
"cell_type": "code",
|
| 99 |
+
"execution_count": null,
|
| 100 |
+
"id": "0265c17e-d9db-4877-a804-74d94596a72e",
|
| 101 |
+
"metadata": {},
|
| 102 |
+
"outputs": [],
|
| 103 |
+
"source": [
|
| 104 |
+
"filename = \"example_files/medium_blog.html\"\n",
|
| 105 |
+
"elements = partition_html(filename=filename)"
|
| 106 |
+
]
|
| 107 |
+
},
|
| 108 |
+
{
|
| 109 |
+
"cell_type": "code",
|
| 110 |
+
"execution_count": null,
|
| 111 |
+
"id": "68f55cc9-0d04-4260-a617-9f3ab0c6951f",
|
| 112 |
+
"metadata": {},
|
| 113 |
+
"outputs": [],
|
| 114 |
+
"source": [
|
| 115 |
+
"element_dict = [el.to_dict() for el in elements]\n",
|
| 116 |
+
"example_output = json.dumps(element_dict[11:15], indent=2)\n",
|
| 117 |
+
"print(example_output)"
|
| 118 |
+
]
|
| 119 |
+
},
|
| 120 |
+
{
|
| 121 |
+
"cell_type": "code",
|
| 122 |
+
"execution_count": null,
|
| 123 |
+
"id": "41aa4434-7ff6-45c5-bf7d-ef870358e4bb",
|
| 124 |
+
"metadata": {},
|
| 125 |
+
"outputs": [],
|
| 126 |
+
"source": [
|
| 127 |
+
"JSON(example_output)"
|
| 128 |
+
]
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"cell_type": "markdown",
|
| 132 |
+
"id": "5e571077-9c60-499c-9668-c0e350148ce8",
|
| 133 |
+
"metadata": {},
|
| 134 |
+
"source": [
|
| 135 |
+
"## Example Doc: MSFT PowerPoint on OpenAI"
|
| 136 |
+
]
|
| 137 |
+
},
|
| 138 |
+
{
|
| 139 |
+
"cell_type": "code",
|
| 140 |
+
"execution_count": null,
|
| 141 |
+
"id": "36692869-ceeb-4eee-88bf-bdbebb198c70",
|
| 142 |
+
"metadata": {},
|
| 143 |
+
"outputs": [],
|
| 144 |
+
"source": [
|
| 145 |
+
"Image(filename=\"images/pptx_slide.png\", height=600, width=600) "
|
| 146 |
+
]
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"cell_type": "code",
|
| 150 |
+
"execution_count": null,
|
| 151 |
+
"id": "60fffa73-2f75-447a-8596-e24cc3288039",
|
| 152 |
+
"metadata": {},
|
| 153 |
+
"outputs": [],
|
| 154 |
+
"source": [
|
| 155 |
+
"filename = \"example_files/msft_openai.pptx\"\n",
|
| 156 |
+
"elements = partition_pptx(filename=filename)"
|
| 157 |
+
]
|
| 158 |
+
},
|
| 159 |
+
{
|
| 160 |
+
"cell_type": "code",
|
| 161 |
+
"execution_count": null,
|
| 162 |
+
"id": "3589bae1-3f4e-4b9e-b16c-8975e37287c9",
|
| 163 |
+
"metadata": {},
|
| 164 |
+
"outputs": [],
|
| 165 |
+
"source": [
|
| 166 |
+
"element_dict = [el.to_dict() for el in elements]\n",
|
| 167 |
+
"JSON(json.dumps(element_dict[:], indent=2))"
|
| 168 |
+
]
|
| 169 |
+
},
|
| 170 |
+
{
|
| 171 |
+
"cell_type": "markdown",
|
| 172 |
+
"id": "b5ecce31-081c-4e51-89ae-06cc8d9eaf2d",
|
| 173 |
+
"metadata": {},
|
| 174 |
+
"source": [
|
| 175 |
+
"## Example Document: PDF on Chain-of-Thought"
|
| 176 |
+
]
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"cell_type": "code",
|
| 180 |
+
"execution_count": null,
|
| 181 |
+
"id": "037167ed-21bf-4af3-84a4-21f4b88a0b1c",
|
| 182 |
+
"metadata": {},
|
| 183 |
+
"outputs": [],
|
| 184 |
+
"source": [
|
| 185 |
+
"Image(filename=\"images/cot_paper.png\", height=600, width=600) "
|
| 186 |
+
]
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"cell_type": "code",
|
| 190 |
+
"execution_count": null,
|
| 191 |
+
"id": "dcab4d73-f062-47ff-bc43-43b50753be6d",
|
| 192 |
+
"metadata": {},
|
| 193 |
+
"outputs": [],
|
| 194 |
+
"source": [
|
| 195 |
+
"filename = \"example_files/CoT.pdf\"\n",
|
| 196 |
+
"with open(filename, \"rb\") as f:\n",
|
| 197 |
+
" files=shared.Files(\n",
|
| 198 |
+
" content=f.read(), \n",
|
| 199 |
+
" file_name=filename,\n",
|
| 200 |
+
" )\n",
|
| 201 |
+
"\n",
|
| 202 |
+
"req = shared.PartitionParameters(\n",
|
| 203 |
+
" files=files,\n",
|
| 204 |
+
" strategy='hi_res',\n",
|
| 205 |
+
" pdf_infer_table_structure=True,\n",
|
| 206 |
+
" languages=[\"eng\"],\n",
|
| 207 |
+
")\n",
|
| 208 |
+
"try:\n",
|
| 209 |
+
" resp = s.general.partition(req)\n",
|
| 210 |
+
" print(json.dumps(resp.elements[:3], indent=2))\n",
|
| 211 |
+
"except SDKError as e:\n",
|
| 212 |
+
" print(e)"
|
| 213 |
+
]
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"cell_type": "code",
|
| 217 |
+
"execution_count": null,
|
| 218 |
+
"id": "7c44f3c8-cd94-440b-a9cc-01db643f44d9",
|
| 219 |
+
"metadata": {},
|
| 220 |
+
"outputs": [],
|
| 221 |
+
"source": [
|
| 222 |
+
"JSON(json.dumps(resp.elements, indent=2))"
|
| 223 |
+
]
|
| 224 |
+
},
|
| 225 |
+
{
|
| 226 |
+
"cell_type": "markdown",
|
| 227 |
+
"id": "f9e21878-24e1-4967-b5da-c3e0cdf8a69a",
|
| 228 |
+
"metadata": {},
|
| 229 |
+
"source": [
|
| 230 |
+
"## Work With Your Own Files"
|
| 231 |
+
]
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"cell_type": "code",
|
| 235 |
+
"execution_count": null,
|
| 236 |
+
"id": "66704bc0-e59e-438e-9fef-2a0a7cffc376",
|
| 237 |
+
"metadata": {},
|
| 238 |
+
"outputs": [],
|
| 239 |
+
"source": [
|
| 240 |
+
"import panel as pn\n",
|
| 241 |
+
"#import param\n",
|
| 242 |
+
"from Utils import upld_file\n",
|
| 243 |
+
"pn.extension()"
|
| 244 |
+
]
|
| 245 |
+
},
|
| 246 |
+
{
|
| 247 |
+
"cell_type": "code",
|
| 248 |
+
"execution_count": null,
|
| 249 |
+
"id": "d8b8e99a-4d73-4d24-87a5-55fb8783867c",
|
| 250 |
+
"metadata": {},
|
| 251 |
+
"outputs": [],
|
| 252 |
+
"source": [
|
| 253 |
+
"upld_widget = upld_file()\n",
|
| 254 |
+
"pn.Row(upld_widget.widget_file_upload)"
|
| 255 |
+
]
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"cell_type": "markdown",
|
| 259 |
+
"id": "2a04e4fa-6b55-4ff0-ad8b-508e81829b60",
|
| 260 |
+
"metadata": {},
|
| 261 |
+
"source": [
|
| 262 |
+
"<p style=\"background-color:#fff6e4; padding:15px; border-width:3px; border-color:#f5ecda; border-style:solid; border-radius:6px\"> 🖥 <b>Note:</b> If the file upload interface isn't functioning properly, the issue may be related to your browser version. In such a case, please ensure your browser is updated to the latest version, or try using a different browser.</p>\n"
|
| 263 |
+
]
|
| 264 |
+
},
|
| 265 |
+
{
|
| 266 |
+
"cell_type": "code",
|
| 267 |
+
"execution_count": null,
|
| 268 |
+
"id": "daaf85f4-f702-467c-b44b-80dcb98aae2c",
|
| 269 |
+
"metadata": {},
|
| 270 |
+
"outputs": [],
|
| 271 |
+
"source": [
|
| 272 |
+
"!ls ./example_files"
|
| 273 |
+
]
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"cell_type": "markdown",
|
| 277 |
+
"id": "691324b6-6291-4668-8be1-fb9044bb5b6d",
|
| 278 |
+
"metadata": {},
|
| 279 |
+
"source": [
|
| 280 |
+
"<p style=\"background-color:#fff6ff; padding:15px; border-width:3px; border-color:#efe6ef; border-style:solid; border-radius:6px\"> 💻 <b>Uploading Your Own File - Method 2:</b> To upload your own files, you can also 1) click on the <em>\"View\"</em> option on the top menu of the notebook and then 2) click on <em>\"File Browser\"</em>. Then 3) click on <em>\"Upload\"</em> button to upload your files. For more help, please see the <em>\"Appendix - Tips and Help\"</em> Lesson.</p>"
|
| 281 |
+
]
|
| 282 |
+
},
|
| 283 |
+
{
|
| 284 |
+
"cell_type": "code",
|
| 285 |
+
"execution_count": null,
|
| 286 |
+
"id": "bac37496-46de-4a6c-a2c2-b4749722da64",
|
| 287 |
+
"metadata": {},
|
| 288 |
+
"outputs": [],
|
| 289 |
+
"source": []
|
| 290 |
+
},
|
| 291 |
+
{
|
| 292 |
+
"cell_type": "code",
|
| 293 |
+
"execution_count": null,
|
| 294 |
+
"id": "ba1415fc-e652-4ecc-94ac-0867d101c919",
|
| 295 |
+
"metadata": {},
|
| 296 |
+
"outputs": [],
|
| 297 |
+
"source": []
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"cell_type": "code",
|
| 301 |
+
"execution_count": null,
|
| 302 |
+
"id": "11073a73-f21d-4e1e-94a7-1f4a57cbc95f",
|
| 303 |
+
"metadata": {},
|
| 304 |
+
"outputs": [],
|
| 305 |
+
"source": []
|
| 306 |
+
},
|
| 307 |
+
{
|
| 308 |
+
"cell_type": "code",
|
| 309 |
+
"execution_count": null,
|
| 310 |
+
"id": "a20d475a-1185-4185-9f57-794e1536e4c9",
|
| 311 |
+
"metadata": {},
|
| 312 |
+
"outputs": [],
|
| 313 |
+
"source": []
|
| 314 |
+
},
|
| 315 |
+
{
|
| 316 |
+
"cell_type": "code",
|
| 317 |
+
"execution_count": null,
|
| 318 |
+
"id": "afd68abd-967a-4ee1-bd12-0309e595cae4",
|
| 319 |
+
"metadata": {},
|
| 320 |
+
"outputs": [],
|
| 321 |
+
"source": []
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"cell_type": "code",
|
| 325 |
+
"execution_count": null,
|
| 326 |
+
"id": "2eee2322-6829-4d3a-9666-6b6440c7d074",
|
| 327 |
+
"metadata": {},
|
| 328 |
+
"outputs": [],
|
| 329 |
+
"source": []
|
| 330 |
+
}
|
| 331 |
+
],
|
| 332 |
+
"metadata": {
|
| 333 |
+
"kernelspec": {
|
| 334 |
+
"display_name": "Python 3 (ipykernel)",
|
| 335 |
+
"language": "python",
|
| 336 |
+
"name": "python3"
|
| 337 |
+
},
|
| 338 |
+
"language_info": {
|
| 339 |
+
"codemirror_mode": {
|
| 340 |
+
"name": "ipython",
|
| 341 |
+
"version": 3
|
| 342 |
+
},
|
| 343 |
+
"file_extension": ".py",
|
| 344 |
+
"mimetype": "text/x-python",
|
| 345 |
+
"name": "python",
|
| 346 |
+
"nbconvert_exporter": "python",
|
| 347 |
+
"pygments_lexer": "ipython3",
|
| 348 |
+
"version": "3.9.6"
|
| 349 |
+
}
|
| 350 |
+
},
|
| 351 |
+
"nbformat": 4,
|
| 352 |
+
"nbformat_minor": 5
|
| 353 |
+
}
|