CharlyWargnier

import streamlit as st

if 'count' not in st.session_state:
    st.session_state.count = 0

if 'quotes' not in st.session_state:
    st.session_state.quotes = [
        "Life is what happens when you're busy making other plans. — John Lennon",
        "Get busy living or get busy dying. — Stephen King",
        "You only live once, but if you do it right, once is enough. — Mae West",

CharlyWargnier

const OPENAI_API_KEY = ""; // <- PASTE YOUR SECRET KEY HERE
const OPENAI_API_URL = "https://api.openai.com/v1/completions";

/**
 * Submits a prompt to GPT-3 and returns the completion
 *
 * @param {string} prompt Prompt to submit to GPT-3
 * @param {float} temperature Model temperature (0-1)
 * @param {string} model Model name (e.g. text-davinci-002)

CharlyWargnier

        df = pd.read_csv("reuters-allcats.csv")
        csv = df.to_csv(index=False)       
        b64 = base64.b64encode(csv.encode()).decode()
        href = f'<a href="data:file/csv;base64,{b64}" download="myfilename.csv">Try a sample first</a>'

 
        st.markdown("👆 Upload a .csv file.  " + href, unsafe_allow_html=True)
      
        st.stop()

CharlyWargnier

gd = GridOptionsBuilder.from_dataframe(df)
# Adds pagination
gd.configure_pagination(enabled=True)
# Adds editable cells
gd.configure_default_column(editable=True, groupable=True)
# Enables multi-select in the dataframe
gd.configure_selection(selection_mode="multiple", use_checkbox=True)
gridoptions = gd.build()
grid_table = AgGrid(
    df,

CharlyWargnier

# The code below is for the title and logo.
st.set_page_config(
    layout=layout, page_title="Dataframe with editable cells", page_icon="💾"
)

CharlyWargnier

def get_search_console_data(webproperty):
            if webproperty is not None:
                # query = webproperty.query.range(start="today", days=days).dimension("query")
                report = (
                    webproperty.query.search_type(search_type)
                    .range("today", days=timescale)
                    .dimension(dimension)
                    .filter(filter_page_or_query, filter_keyword, filter_type)
                    .filter(filter_page_or_query2, filter_keyword2, filter_type2)
                    .get()

CharlyWargnier

import streamlit as st 

st.header('test')


faqs = [
{ "question": "Tom", "answer": "10" },
{ "question": "Mark", "answer": "5" },
{ "question": "Pam", "answer": "7" },
{ "question": "Dick", "answer": "12" }

CharlyWargnier

from zipfile import ZipFile
from io import BytesIO

zipObj = ZipFile("sample.zip", "w")
# Add multiple files to the zip
zipObj.write("checkpoint")
zipObj.write("model_hyperparameters.json")
# close the Zip File
zipObj.close()

CharlyWargnier

function getSummary(text){
  
  payload = `text=${text}`;
  
  payload = encodeURI(payload);
  
  console.log(payload);
  
  var url = "https://us-central1-hamlet-title-descr-generator.cloudfunctions.net/t5_post";
  

CharlyWargnier

function ConnectButton(){
    console.log("Connect pushed"); 
    document.querySelector("#top-toolbar > colab-connect-button").shadowRoot.querySelector("#connect").click() 
}
setInterval(ConnectButton,60000);