ash2shukla

import streamlit as st
from bokeh.models import ColumnDataSource, CustomJS
from bokeh.plotting import figure
import pandas as pd
import numpy as np
from streamlit_bokeh_events import streamlit_bokeh_events
from state import provide_state

@provide_state
def main(state):

ash2shukla

from streamlit.report_thread import get_report_ctx
from streamlit.hashing import _CodeHasher
from streamlit.server.server import Server
from prometheus_client.registry import REGISTRY
from prometheus_client import Counter


class _SessionState:
    def __init__(self, session, hash_funcs):
        """Initialize SessionState instance."""

ash2shukla

ash2shukla

import streamlit as st
import io
from PIL import Image

original, modified = st.beta_columns(2)

image_box = original.empty()
filter_type = original.empty()

image = original.file_uploader("Upload Image")

ash2shukla

from bokeh.models import ColumnDataSource, CustomJS
from bokeh.palettes import Category20
from bokeh.plotting import figure
from bokeh.transform import linear_cmap
import numpy as np
import pandas as pd
import streamlit as st
from sklearn.datasets import make_blobs
from state import provide_state
st.set_page_config(layout="wide")

ash2shukla

import pandas as pd

def one_hot_column(df, column, labels, prefix=None, **kwargs):
    dummies = pd.get_dummies(df[column], prefix=prefix or column, **kwargs)
    for label in labels:
        if f"{column}_{label}" not in dummies.columns:
            dummies[f"{column}_{label}"] = 0
    return df.join(dummies)

if __name__ == "__main__":

ash2shukla

netsh advfirewall firewall add rule name="Allowing LAN connections" dir=in action=allow protocol=TCP localport=9999

netsh interface portproxy add v4tov4 listenaddress=0.0.0.0 listenport=9999 connectaddress=localhost connectport=9999

ash2shukla

import asyncio

import logging


from fastapi import FastAPI
from fastapi.responses import HTMLResponse
from fastapi.websockets import WebSocket, WebSocketDisconnect
import aioredis
import async_timeout