File size: 417 Bytes
6360f05
 
3b096e3
5f275da
6360f05
3b096e3
c23c5f8
6360f05
3b096e3
 
2f8c020
3b096e3
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
import streamlit as st

from emotion_model import emotion_predict
from pre_processing_data import user_capture

name = st.text_input("Enter your sentence here")
if (st.button('Submit')):
    result = name.title()
    try:
        result_check = emotion_predict(result)
        user_capture(result, result_check)
    except Exception as E:
        result_check = "Error"
        print(E)

    st.success(result_check)