| import streamlit as st | |
| # from transformers import AutoTokenizer, AutoModelForSequenceClassification | |
| # from app_pages import page1_model_comparison, page2_rubert_toxicity, page3_gpt_model | |
| st.title('LSTM Team Natuaral Language Processing Project YEAH') | |
| # selection = st.sidebar.radio("Go to", ["Model Comparison", "RuBERT Toxicity Detection", "GPT Model"]) | |
| # if selection == "Model Comparison": | |
| # page1_model_comparison.run() | |
| # elif selection == "RuBERT Toxicity Detection": | |
| # page2_rubert_toxicity.run() | |
| # elif selection == "GPT Model": | |
| # page3_gpt_model.run() |