pages/.ipynb_checkpoints/Classify by recordings-checkpoint.py

import streamlit as st
from helper import model, upload, record

title = "Emotion Audio Classifier with recordings"
st.title(title)

st.write('Click show features to see the extracted features used for prediction.')
st.write('Click classify to get predictions.')

def add_bg_from_url():
    st.markdown(
         f"""
         <style>
         .stApp {{
             background-image: url("https://img.freepik.com/free-vector/white-grid-line-pattern-gray-background_53876-99015.jpg?     w=996&t=st=1667979021~exp=1667979621~hmac=25b2066b6c3abd08a038e86ad9579fe48db944b57f853bd8ee2a00a98f752d7b");  
             background-attachment: fixed;
             background-size: cover
         }}
         </style>
         """,
         unsafe_allow_html=True
     )

add_bg_from_url() 

record()