andfanilo

import streamlit as st

##### Initialize Session State
if "counter" not in st.session_state:
    st.session_state.counter = 0
if "timer" not in st.session_state:
    st.session_state.timer = 0


##### Build Logic into Fragments

andfanilo

import streamlit as st
from vega_datasets import data

st.title("Vega Datasets Explorer")

all_datasets = data.list_datasets()
selected_dataset = st.selectbox("Select data:", all_datasets)

df = getattr(data, selected_dataset.replace("-", "_"))()
st.dataframe(df, use_container_width=True)

andfanilo

import streamlit as st
from transformers import pipeline

from huggingface_hub import HfApi
from huggingface_hub import ModelFilter

st.set_page_config(page_title="Huggingface Course", page_icon="🤗")

@st.cache_resource
def load_hf_model(model: str):

andfanilo

import streamlit as st
from streamlit.delta_generator import DeltaGenerator
from streamlit.proto.Markdown_pb2 import Markdown as MarkdownProto
from streamlit.string_util import clean_text

def markdown_but_yelling(body, unsafe_allow_html=False):
    body = f"# {body.upper()}!!!!"

    markdown_proto = MarkdownProto()
    markdown_proto.body = clean_text(body)

andfanilo

{
    "editor.fontSize": 16, // 16 on demo, 14 otherwise
    "editor.lineHeight": 22, // 22 on demo, 18 otherwise
    "window.zoomLevel": 1.5, // 1.5 on demo, 1.2 otherwise
    "editor.formatOnSave": false,
    "editor.formatOnPaste": false,
    "editor.lineNumbers": "off",
    "editor.quickSuggestionsDelay": 3000,
    "editor.quickSuggestions": {
        "other": false,

andfanilo

"""
pip install beautifulsoup4 ghapi requests streamlit
Add [github] > key value of your Github API Token in .streamlit/secrets.toml
streamlit run streamlit_app.py
"""
from typing import Tuple

import pandas as pd
import requests
import streamlit as st

andfanilo

import base64
import streamlit as st
import streamlit.components.v1 as components
import plotly.express as px

df = px.data.iris()


@st.experimental_memo
def get_img_as_base64(file):

andfanilo

"""https://www.freakyjolly.com/multipage-canvas-pdf-using-jspdf/"""
import requests
import plotly.express as px
import streamlit as st
import streamlit.components.v1 as components


@st.experimental_memo
def load_unpkg(src: str) -> str:
    return requests.get(src).text

andfanilo

import pandas as pd
import plotly.express as px
import streamlit as st

from ghapi.all import GhApi
from ghapi.all import pages


@st.experimental_singleton
def load_ghapi() -> GhApi:

andfanilo

import streamlit as st

from ghapi.all import GhApi


@st.experimental_singleton
def load_ghapi():
    return GhApi()