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{
"cells": [
{
"cell_type": "code",
"execution_count": 13,
"id": "8f925fb7-86ba-487f-ab85-88754d777860",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import json\n",
"with open(\"text/text_label.json\",\"r\",encoding='utf-8') as f:\n",
" text_label = json.load(f)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "d2c0a048-1db7-4236-9f26-539ed31d3d27",
"metadata": {
"tags": []
},
"outputs": [],
"source": [
"import random\n",
"random.seed(0)\n",
"def post_process(model_output,text_label):\n",
" text_list = text_label[model_output]\n",
" text,sent = random.sample(text_list,1)[0]\n",
" return {'label' : model_output,\n",
" 'text' : text,\n",
" 'sentiment' : sent}"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "f8ca0ad8-bc0c-4766-8e13-fe093c5290df",
"metadata": {
"tags": []
},
"outputs": [
{
"data": {
"text/plain": [
"{'label': 'bark', 'text': '์๋์ผ, ์๋์ผ!', 'sentiment': '๋ถ์ '}"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"model_output = 'bark'\n",
"post_process(model_output,text_label)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "da690a64-4dea-4b2a-89c1-23ea8bad955c",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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