Spaces:
Runtime error
Runtime error
theresatvan
commited on
Commit
•
eb311d6
1
Parent(s):
7c49160
Add sentiment analyzer for user input text
Browse files
app.py
CHANGED
@@ -1,4 +1,26 @@
|
|
1 |
import streamlit as st
|
|
|
2 |
|
3 |
-
|
4 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
import streamlit as st
|
2 |
+
from transformers import pipeline
|
3 |
|
4 |
+
st.title("Text Sentiment Analyzer")
|
5 |
+
|
6 |
+
# Create submission form
|
7 |
+
form = st.form("sentiment-form")
|
8 |
+
input = form.text_area('Enter your text here.')
|
9 |
+
submit = form.form_submit_button("Submit")
|
10 |
+
|
11 |
+
if submit:
|
12 |
+
# Use pre-trained sentiment analysis model
|
13 |
+
classifier = pipeline(task="sentiment-analysis")
|
14 |
+
|
15 |
+
# Extract prediction from the results
|
16 |
+
pred = classifier(input)[0]
|
17 |
+
label= pred['label']
|
18 |
+
score = pred['score']
|
19 |
+
|
20 |
+
if label == "POSITIVE":
|
21 |
+
# Green output text box
|
22 |
+
st.success("{} sentiment (score: {})".format(label, score))
|
23 |
+
|
24 |
+
else:
|
25 |
+
# Red output text box
|
26 |
+
st.error("{} sentiment (score: {})".format(label, score))
|