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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"\n",
"import json \n",
"import requests \n",
" \n",
"import streamlit as st \n",
"from streamlit_lottie import st_lottie \n",
"import os\n",
"folder_path = \"lotte_animation_saver/\"\n",
"\n",
"# Get the list of all files in the folder\n",
"file_names = os.listdir(folder_path)\n",
"max_file_name=max([int(i.split(\"_\")[-1][:-5]) for i in file_names]) \n",
"url = requests.get( \n",
" \"https://lottie.host/34b4b005-c8c9-4d57-a0fd-0e9ed3b49835/nCkgflSg9J.json\") \n",
"# Creating a blank dictionary to store JSON file, \n",
"# as their structure is similar to Python Dictionary \n",
"url_json = dict() \n",
" \n",
"if url.status_code == 200: \n",
"\n",
" url_json = url.json() \n",
" with open(\"lotte_animation_saver/animation_\"+str(max_file_name+1)+\".json\",\"w\") as read:\n",
" json.dump(url_json,read,indent=2)\n",
"\n",
"else: \n",
" print(\"Error in the URL\") "
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "env",
"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": "3.12.4"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
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