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| import streamlit as st | |
| #import transformers | |
| #from transformers import pipeline | |
| st.title('My first app') | |
| x = st.slider('Select a value') | |
| st.write(x, 'squared is', x * x) | |
| # classifier = pipeline("text-classification", model="distilbert-base-uncased-finetuned-sst-2-english") | |
| # # Example input text | |
| # input_text = "I love using Hugging Face models!" | |
| # # Get the classification result | |
| # result = classifier(input_text) | |
| # st.write(result) | |