import streamlit as st from st_pages import Page, show_pages, add_page_title from transformers import pipeline from datasets import load_dataset class TextClassifier: bertPipe = pipeline( model="nlp-pw/test-model-3") class AnalysisData: ds = load_dataset("nlp-pw/Disaster-Tweets-Normalized", revision="main", split='train') def main(): st.session_state["shared"] = True st.set_page_config( page_title="NLP - Project", page_icon="🤖", ) add_page_title("NLP - Project") show_pages( [ Page("pages/introduction.py", "Intro", "😊"), Page("pages/data_analysis.py", "Data and data", "📊"), Page("pages/run_models.py", "Run models", "🤖"), ] ) if __name__ == "__main__": main()