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# Importing Libraries
import pandas as pd
from sklearn.ensemble import RandomForestRegressor
from sklearn.impute import SimpleImputer
from collections import Counter
from category_encoders import TargetEncoder
from sklearn.metrics import mean_squared_error
import numpy as np
from xgboost import XGBRegressor
from sklearn.model_selection import train_test_split

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  upstream ws-backend {
  
    server <your local ip eg. 192.168.6.418:12345>; # this should be your application running in ip and port
  
  }

server {
    listen 9000 ssl; # this port will listen, if you don't have ssl, remove ssl word
    server_name <domain name or ip eg. 192.168.6.418 or example.bala.com>;

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import streamlit as st

st.title("Hello Captain")

file_to_be_uploaded = st.file_uploader("Choose a file", type=['MP3', 'WAV])

RAWDATAPATH = "path to save the file"
                                        
def save_uploadedfile(uploadedfile):
    global RAWDATAPATH

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import numpy as np
import cv2
import pandas as pd

w =48
h = 48

# Load image
img = cv2.imread('1_0.jpg',0)