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{
"cells": [
{
"cell_type": "code",
"source": [
"pip install gradio"
],
"metadata": {
"id": "f5MZmZgEWPn0",
"outputId": "a6cf4020-0180-4992-f0ea-cdee67b791ca",
"colab": {
"base_uri": "https://localhost:8080/"
}
},
"id": "f5MZmZgEWPn0",
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
"Collecting 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",
" 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",
" Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for ffmpy: filename=ffmpy-0.3.0-py3-none-any.whl size=4694 sha256=6181d8caadcf627a877be220866343ef5752de97dc212fc2ce1e8dcf1852898f\n",
" Stored in directory: /root/.cache/pip/wheels/0c/c2/0e/3b9c6845c6a4e35beb90910cc70d9ac9ab5d47402bd62af0df\n",
"Successfully built ffmpy\n",
"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",
"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"
]
}
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "89dd0b88",
"metadata": {
"id": "89dd0b88",
"outputId": "c2d00020-1166-4f3d-d96e-b3c56e4c0b00",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 616
}
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
"Note: opening Chrome Inspector may crash demo inside Colab notebooks.\n",
"\n",
"To create a public link, set `share=True` in `launch()`.\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.Javascript object>"
],
"application/javascript": [
"(async (port, path, width, height, cache, element) => {\n",
" if (!google.colab.kernel.accessAllowed && !cache) {\n",
" return;\n",
" }\n",
" element.appendChild(document.createTextNode(''));\n",
" const url = await google.colab.kernel.proxyPort(port, {cache});\n",
"\n",
" const external_link = document.createElement('div');\n",
" external_link.innerHTML = `\n",
" <div style=\"font-family: monospace; margin-bottom: 0.5rem\">\n",
" Running on <a href=${new URL(path, url).toString()} target=\"_blank\">\n",
" https://localhost:${port}${path}\n",
" </a>\n",
" </div>\n",
" `;\n",
" element.appendChild(external_link);\n",
"\n",
" const iframe = document.createElement('iframe');\n",
" iframe.src = new URL(path, url).toString();\n",
" iframe.height = height;\n",
" iframe.allow = \"autoplay; camera; microphone; clipboard-read; clipboard-write;\"\n",
" iframe.width = width;\n",
" iframe.style.border = 0;\n",
" element.appendChild(iframe);\n",
" })(7860, \"/\", \"100%\", 500, false, window.element)"
]
},
"metadata": {}
}
],
"source": [
"import gradio as gr\n",
"# from gradio.components import FilePicker, Textbox\n",
"\n",
"def eliminar_palabras_recursivas(archivo, palabras, ruta_guardado):\n",
" with open(archivo.name, 'r') as f:\n",
" lines = f.readlines()\n",
"\n",
" with open(ruta_guardado, 'w') as f:\n",
" for line in lines:\n",
" line = line.strip()\n",
" palabras_linea = line.split(', ')\n",
" palabras_filtradas = [palabra for palabra in palabras_linea if palabra not in palabras]\n",
" line_modificada = ', '.join(palabras_filtradas)\n",
" f.write(line_modificada + '\\n')\n",
"\n",
"def interfaz():\n",
" archivo = gr.File(label=\"input file\")\n",
" palabras = gr.Textbox(label=\"Words to remove (separated by commas)\")\n",
" ruta_guardado = gr.Textbox(label=\"Save Path\")\n",
" boton = gr.Button(label=\"Remove recursive words\")\n",
" gr.Interface(fn=eliminar_palabras_recursivas, inputs=[archivo, palabras, ruta_guardado], outputs=None, title=\"Recursive Word Eliminator\").launch()\n",
"\n",
"interfaz()\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "9180e5ae",
"metadata": {
"id": "9180e5ae"
},
"outputs": [],
"source": []
}
],
"metadata": {
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"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
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