Upload Colab_Recursive_Word_Eliminator.ipynb
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Colab_Recursive_Word_Eliminator.ipynb
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{
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"cells": [
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{
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"cell_type": "code",
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"source": [
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"pip install gradio"
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],
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"metadata": {
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"id": "f5MZmZgEWPn0",
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"outputId": "a6cf4020-0180-4992-f0ea-cdee67b791ca",
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"colab": {
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"base_uri": "https://localhost:8080/"
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}
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},
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"id": "f5MZmZgEWPn0",
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"execution_count": 1,
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
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"Collecting gradio\n",
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" Downloading frozenlist-1.3.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (149 kB)\n",
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"\u001b[?25hCollecting aiosignal>=1.1.2 (from aiohttp->gradio)\n",
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"Collecting uc-micro-py (from linkify-it-py<3,>=1->markdown-it-py[linkify]>=2.0.0->gradio)\n",
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" Downloading uc_micro_py-1.0.2-py3-none-any.whl (6.2 kB)\n",
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"Building wheels for collected packages: ffmpy\n",
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" Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4694 sha256=6181d8caadcf627a877be220866343ef5752de97dc212fc2ce1e8dcf1852898f\n",
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" Stored in directory: /root/.cache/pip/wheels/0c/c2/0e/3b9c6845c6a4e35beb90910cc70d9ac9ab5d47402bd62af0df\n",
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"Successfully built ffmpy\n",
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"Installing collected packages: pydub, ffmpy, websockets, uc-micro-py, semantic-version, python-multipart, orjson, multidict, h11, frozenlist, async-timeout, aiofiles, yarl, uvicorn, starlette, mdit-py-plugins, linkify-it-py, huggingface-hub, httpcore, aiosignal, httpx, fastapi, aiohttp, gradio-client, gradio\n",
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"Successfully installed aiofiles-23.1.0 aiohttp-3.8.4 aiosignal-1.3.1 async-timeout-4.0.2 fastapi-0.97.0 ffmpy-0.3.0 frozenlist-1.3.3 gradio-3.34.0 gradio-client-0.2.6 h11-0.14.0 httpcore-0.17.2 httpx-0.24.1 huggingface-hub-0.15.1 linkify-it-py-2.0.2 mdit-py-plugins-0.3.3 multidict-6.0.4 orjson-3.9.1 pydub-0.25.1 python-multipart-0.0.6 semantic-version-2.10.0 starlette-0.27.0 uc-micro-py-1.0.2 uvicorn-0.22.0 websockets-11.0.3 yarl-1.9.2\n"
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]
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}
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "89dd0b88",
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"metadata": {
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"id": "89dd0b88",
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"outputId": "c2d00020-1166-4f3d-d96e-b3c56e4c0b00",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 616
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}
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},
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"outputs": [
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{
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"output_type": "stream",
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"name": "stdout",
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"text": [
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"Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
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+
"Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
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"\n",
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| 160 |
+
"To create a public link, set `share=True` in `launch()`.\n"
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]
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},
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{
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"output_type": "display_data",
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"data": {
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"text/plain": [
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"<IPython.core.display.Javascript object>"
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],
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"application/javascript": [
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+
"(async (port, path, width, height, cache, element) => {\n",
|
| 171 |
+
" if (!google.colab.kernel.accessAllowed && !cache) {\n",
|
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" return;\n",
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" }\n",
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" element.appendChild(document.createTextNode(''));\n",
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+
" const url = await google.colab.kernel.proxyPort(port, {cache});\n",
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"\n",
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" const external_link = document.createElement('div');\n",
|
| 178 |
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" external_link.innerHTML = `\n",
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" <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
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" Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
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+
" https://localhost:${port}${path}\n",
|
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+
" </a>\n",
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" </div>\n",
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+
" `;\n",
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" element.appendChild(external_link);\n",
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"\n",
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+
" const iframe = document.createElement('iframe');\n",
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| 188 |
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" iframe.src = new URL(path, url).toString();\n",
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+
" iframe.height = height;\n",
|
| 190 |
+
" iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
|
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+
" iframe.width = width;\n",
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+
" iframe.style.border = 0;\n",
|
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+
" element.appendChild(iframe);\n",
|
| 194 |
+
" })(7860, \"/\", \"100%\", 500, false, window.element)"
|
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+
]
|
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+
},
|
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"metadata": {}
|
| 198 |
+
}
|
| 199 |
+
],
|
| 200 |
+
"source": [
|
| 201 |
+
"import gradio as gr\n",
|
| 202 |
+
"# from gradio.components import FilePicker, Textbox\n",
|
| 203 |
+
"\n",
|
| 204 |
+
"def eliminar_palabras_recursivas(archivo, palabras, ruta_guardado):\n",
|
| 205 |
+
" with open(archivo.name, 'r') as f:\n",
|
| 206 |
+
" lines = f.readlines()\n",
|
| 207 |
+
"\n",
|
| 208 |
+
" with open(ruta_guardado, 'w') as f:\n",
|
| 209 |
+
" for line in lines:\n",
|
| 210 |
+
" line = line.strip()\n",
|
| 211 |
+
" palabras_linea = line.split(', ')\n",
|
| 212 |
+
" palabras_filtradas = [palabra for palabra in palabras_linea if palabra not in palabras]\n",
|
| 213 |
+
" line_modificada = ', '.join(palabras_filtradas)\n",
|
| 214 |
+
" f.write(line_modificada + '\\n')\n",
|
| 215 |
+
"\n",
|
| 216 |
+
"def interfaz():\n",
|
| 217 |
+
" archivo = gr.File(label=\"input file\")\n",
|
| 218 |
+
" palabras = gr.Textbox(label=\"Words to remove (separated by commas)\")\n",
|
| 219 |
+
" ruta_guardado = gr.Textbox(label=\"Save Path\")\n",
|
| 220 |
+
" boton = gr.Button(label=\"Remove recursive words\")\n",
|
| 221 |
+
" gr.Interface(fn=eliminar_palabras_recursivas, inputs=[archivo, palabras, ruta_guardado], outputs=None, title=\"Recursive Word Eliminator\").launch()\n",
|
| 222 |
+
"\n",
|
| 223 |
+
"interfaz()\n"
|
| 224 |
+
]
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"cell_type": "code",
|
| 228 |
+
"execution_count": null,
|
| 229 |
+
"id": "9180e5ae",
|
| 230 |
+
"metadata": {
|
| 231 |
+
"id": "9180e5ae"
|
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+
},
|
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"outputs": [],
|
| 234 |
+
"source": []
|
| 235 |
+
}
|
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+
],
|
| 237 |
+
"metadata": {
|
| 238 |
+
"kernelspec": {
|
| 239 |
+
"display_name": "Python 3 (ipykernel)",
|
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"language": "python",
|
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"name": "python3"
|
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+
},
|
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"language_info": {
|
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+
"codemirror_mode": {
|
| 245 |
+
"name": "ipython",
|
| 246 |
+
"version": 3
|
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+
},
|
| 248 |
+
"file_extension": ".py",
|
| 249 |
+
"mimetype": "text/x-python",
|
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+
"name": "python",
|
| 251 |
+
"nbconvert_exporter": "python",
|
| 252 |
+
"pygments_lexer": "ipython3",
|
| 253 |
+
"version": "3.10.9"
|
| 254 |
+
},
|
| 255 |
+
"colab": {
|
| 256 |
+
"provenance": []
|
| 257 |
+
}
|
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+
},
|
| 259 |
+
"nbformat": 4,
|
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+
"nbformat_minor": 5
|
| 261 |
+
}
|