#!/usr/bin/env python | |
# -*- coding: utf-8 -*- | |
# @Project : AI. @by PyCharm | |
# @File : 弹窗 | |
# @Time : 2023/4/2 12:35 | |
# @Author : betterme | |
# @WeChat : meutils | |
# @Software : PyCharm | |
# @Description : | |
from meutils.pipe import * | |
import streamlit as st | |
from streamlit_modal import Modal | |
import streamlit.components.v1 as components | |
modal = Modal("Demo Modal", key='k') | |
open_modal = st.button("Open") | |
if open_modal: | |
modal.open() | |
if modal.is_open(): | |
with modal.container(): | |
st.write("Text goes here") | |
html_string = ''' | |
<h1>HTML string in RED</h1> | |
<script language="javascript"> | |
document.querySelector("h1").style.color = "red"; | |
</script> | |
''' | |
components.html(html_string) | |
st.write("Some fancy text") | |
value = st.checkbox("Check me") | |
st.write(f"Checkbox checked: {value}") | |
# | |
# from transformers import AutoModelForQuestionAnswering,AutoTokenizer,pipeline | |
# model = AutoModelForQuestionAnswering.from_pretrained('uer/roberta-base-chinese-extractive-qa') | |
# tokenizer = AutoTokenizer.from_pretrained('uer/roberta-base-chinese-extractive-qa') | |
# QA = pipeline('question-answering', model=model, tokenizer=tokenizer) | |
# QA_input = {'question': "著名诗歌《假如生活欺骗了你》的作者是",'context': "普希金从那里学习人民的语言,吸取了许多有益的养料,这一切对普希金后来的创作产生了很大的影响。这两年里,普希金创作了不少优秀的作品,如《囚徒》、《致大海》、《致凯恩》和《假如生活欺骗了你》等几十首抒情诗,叙事诗《努林伯爵》,历史剧《鲍里斯·戈都诺夫》,以及《叶甫盖尼·奥涅金》前六章。"} | |
# QA(QA_input) | |