| !python -m pip install transformers --quiet | |
| from transformers import pipeline | |
| classifier = pipeline("sentiment-analysis", | |
| model="distilbert-base-uncased-finetuned-sst-2-english") | |
| def main(): | |
| st.title("classifier") | |
| with st.form("questionaire"): | |
| X = st.text_input("") | |
| clicked = st.form_submit_button("Predict") | |
| if clicked: | |
| result=classifier(X) | |
| st.success(result) | |
| if __name__ == "__main__": | |
| main() |