Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+from textblob import TextBlob
+model_name= "finiteautomata/bertweet-base-sentiment-analysis"
+pipe = pipeline(model_name)
+st.title("Sentiment Analysis")
+
+st.subheader("Which framework would you like to use for sentiment analysis?")
+option = st.selectbox('Choose Framework:',('Transformers', 'TextBlob')) # option is stored in this variable
+
+st.subheader("Enter the text you want to analyze")
+text = st.text_input('Enter text:') # text is stored in this variable
+
+if option == 'Transformers':
+    out = pipe(text)
+else:
+    out = TextBlob(text)
+    out = out.sentiment
+    
+st.write("Sentiment of Text: ")
+st.write(out)