Upload app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+# Create a title and a text input for the user to enter the text
+st.title('Sentiment Analysis App')
+text = st.text_input('Enter text here')
+
+# Create a dropdown for the user to select the pre-trained model
+model_name = 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'
+     ]
+)
+
+# Create a button to perform the sentiment analysis
+if st.button('Analyze Sentiment'):
+    # Load the selected model
+    model = pipeline('sentiment-analysis', model=model_name)
+
+    # Perform sentiment analysis on the input text
+    result = model(text)[0]
+
+    # Print the sentiment label and score
+    st.write(f'Sentiment: {result["label"]}')
+    st.write(f'Score: {result["score"]}')
+
+
+