Upload app.py

app.py

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+import streamlit as st
+import torch
+import requests
+import time
+import numpy as np
+import os
+from toxic1 import toxicity_page
+from strim_nlp import classic_ml_page
+from lstm import lstm_model_page
+from bert_strim import bert_model_page
+
+
+def app_description_page():
+    st.title("Welcome to My App!")
+    st.write("This is a Streamlit application where you can explore two different models.")
+
+def model_selection_page():
+    st.sidebar.title("Model Selection")
+    selected_model = st.sidebar.radio("Select a model", ("Classic ML", "LSTM", "BERT"))
+    
+    if selected_model == "Classic ML":
+        classic_ml_page()
+        st.write("You selected Classic ML.")
+    elif selected_model == "LSTM":
+        lstm_model_page()
+        st.write("You selected LSTM.")
+    elif selected_model == "BERT":
+        bert_model_page()
+        st.write("You selected BERT.")
+    
+def main():
+    page = st.sidebar.radio("Go to", ("App Description", "Model Selection", "Toxicity Model"))
+
+    if page == "App Description":
+        app_description_page()
+    elif page == "Model Selection":
+        model_selection_page()
+    elif page == "Toxicity Model":
+        toxicity_page()
+
+if __name__ == "__main__":
+    main()