{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import requests\n", "import json\n", "from urllib.request import urlretrieve\n", "import pandas as pd" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "headers = {'Content-Type': 'application/json'}\n", "# url='http://127.0.0.1:5000/run'\n", "url='https://huggingface.co/spaces/gmshroff/gmserver'\n", "body={\"script\":\"python update_valdata.py\"}" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "response=requests.post(url=url,data=json.dumps(body),headers = {'Content-Type': 'application/json'})" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "response.content" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "urlretrieve(url='http://127.0.0.1:5000/static/validation_subset_int8.parquet',filename='./validation_subset_int8.parquet')" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [ "df=pd.read_parquet('/tmp/validation_subset_int8.parquet')" ] } ], "metadata": { "kernelspec": { "display_name": "py39numerai", "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": "3.9.9" } }, "nbformat": 4, "nbformat_minor": 2 }