-
Notifications
You must be signed in to change notification settings - Fork 0
/
app.py
57 lines (40 loc) · 1.95 KB
/
app.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
# -*- coding: utf-8 -*-
"""
Created on Sun Apr 25 22:13:18 2021
@author: Bunnyyyyyyy
"""
# import the streamlit library
import streamlit as st
from textblob import TextBlob
from PIL import Image
# give a title to our app
st.title('SAI- Made Sentimental Analysis')
# TAKE WEIGHT INPUT in kgs
st.subheader("Enter your text to verify the tweet")
tweet = st.text_input(" ", "please type here...")
# compare status value
x=TextBlob(tweet)
sentiment_polarity=x.sentiment.polarity
# check if the button is pressed or not
if(st.button('Submit')):
#result = x.title()
if(sentiment_polarity < 0):
st.error("The given tweet looks Negative")
elif(sentiment_polarity ==0):
st.warning("The given tweet looks Neutral")
elif(sentiment_polarity > 0 ):
st.success("The given tweet looks Positive ")
st.subheader("Sairamdgr8 -- An Aspiring Full Stack Data Engineer")
image = Image.open('dev - Copy.jpg')
st.image(image, caption='Developed by Sai')
st.text('')
st.subheader('Connect me... ')
#st.subheader('https://www.linkedin.com/in/sairam-p-l/')
#st.subheader('https://medium.com/@sairamdgr8')
#st.subheader('https://www.facebook.com/bunnydgr8')
"""
[](https://www.linkedin.com/in/sairam-p-l/) https://www.linkedin.com/in/sairam-p-l/
[](https://medium.com/@sairamdgr8) https://medium.com/@sairamdgr8
[](https://www.facebook.com/bunnydgr8) https://www.facebook.com/bunnydgr8
 [email protected]
"""