app.py

app.py

@@ -0,0 +1,21 @@
+import streamlit as st
+from transformers import pipeline
+
+st.title('Sentiment Analysis App')
+text = st.text_input(' ')
+
+mname = st.selectbox(
+    'Select a pre-trained model',
+    ['distilbert-base-uncased', 'distilbert-base-cased', 'bert-base-uncased', 'bert-base-cased',
+     'cardiffnlp/twitter-roberta-base-sentiment-latest',
+     'cardiffnlp/twitter-xlm-roberta-base-sentiment',
+     'j-hartmann/emotion-english-distilroberta-base',
+     'ProsusAI/finbert'
+     ]
+)
+
+if st.button('Analyze Sentiment'):
+    model = pipeline('sentiment-analysis', model=mname)
+    result = model(text)[0]
+    st.write(f'Sentiment: {result["label"]}')
+    st.write(f'Score: {result["score"]}')