Spaces:
Sleeping
Sleeping
Create app.py
Browse files
app.py
ADDED
|
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
import streamlit as st
|
| 2 |
+
from transformers import pipeline
|
| 3 |
+
|
| 4 |
+
# Load the sentiment analysis pipeline
|
| 5 |
+
sentiment_pipeline = pipeline("sentiment-analysis")
|
| 6 |
+
|
| 7 |
+
# Streamlit UI
|
| 8 |
+
st.title("Sentiment Analysis")
|
| 9 |
+
st.write("Enter text below to analyze sentiment:")
|
| 10 |
+
|
| 11 |
+
# Text input
|
| 12 |
+
user_input = st.text_area("Text input")
|
| 13 |
+
|
| 14 |
+
# Button to perform sentiment analysis
|
| 15 |
+
if st.button("Analyze Sentiment"):
|
| 16 |
+
if user_input:
|
| 17 |
+
# Perform sentiment analysis
|
| 18 |
+
results = sentiment_pipeline(user_input)
|
| 19 |
+
# Display the results
|
| 20 |
+
sentiment = results[0]['label']
|
| 21 |
+
score = results[0]['score']
|
| 22 |
+
st.write(f"Sentiment: {sentiment} (Confidence: {score:.2f})")
|
| 23 |
+
else:
|
| 24 |
+
st.write("Please enter some text to analyze.")
|