| import streamlit as st |
| from transformers import pipeline |
|
|
| def main(): |
| sentiment_pipeline = pipeline(model="distilbert/distilbert-base-uncased-finetuned-sst-2-english") |
|
|
| st.title("Sentiment Analysis with HuggingFace Spaces") |
| st.write("Enter a sentence to analyze its sentiment:") |
|
|
| user_input = st.text_input("") |
| if user_input: |
| result = sentiment_pipeline(user_input) |
| sentiment = result[0]["label"] |
| confidence = result[0]["score"] |
|
|
| st.write(f"Sentiment: {sentiment}") |
| st.write(f"Confidence: {confidence:.2f}") |
|
|
| if __name__ == "__main__": |
| main() |
