Update app.py

app.py

@@ -5,21 +5,11 @@ os.system('pip install TextBlob')
 
 import streamlit as st
 from transformers import pipeline
-from textblob import TextBlob
+
 
 pipe = pipeline('sentiment-analysis')
-st.title("Hugging Face Sentiment Analysis Spaces Example")
-st.subheader("What framework would you like to use for Sentiment Analysis")
-#Picking what NLP task you want to do
-option = st.selectbox('Framework',('Transformers', 'TextBlob')) #option is stored in this variable
-#Textbox for text user is entering
-st.subheader("Enter the text you'd like to analyze.")
-text = st.text_input('Enter text') #text is stored in this variable
+text = st.text_area('Enter text') 
 
-if option == 'Transformers':
+if text:
     out = pipe(text)
-else:
-    out = TextBlob(text)
-    out = out.sentiment
-st.write("Sentiment of Text: ")
-st.write(out)
+    st.json(out)