Delete Pages

Pages/Contact.py

@@ -1,9 +0,0 @@
-import streamlit as st
-
-st.title('Contact')
-
-st.markdown("Project Team: Introduction to the project team, including brief bios or links to their profiles.")
-st.markdown("Contact Info: social media, contact form, emails")
-
-st.header("FAQ")
-st.markdown("")

Pages/Sentiment_Analysis.py

@@ -1,3 +0,0 @@
-import streamlit as st
-
-st.title("Sentiment Analysis")

Pages/Team.py

@@ -1,3 +0,0 @@
-import streamlit as st
-
-st.title('Team')

Pages/Topic_Modeling.py

@@ -1,45 +0,0 @@
-import streamlit as st
-
-st.title("Topic Modeling")
-
-if "page" not in st.session_state:
-    st.session_state.page = "Home"
-
-def navigate_to(page):
-    st.session_state.page = page
-
-col1, col2, col3 = st.columns(3)
-
-
-with col1:
-    if st.button("Home"):
-        navigate_to("Home")
-
-with col2:
-    if st.button("LDA Baseline"):
-        navigate_to("LDA Baseline")
-
-with col3:
-    if st.button("BERTopic"):
-        navigate_to("BERTopic")
-
-
-if st.session_state.page == "Home":
-    st.title("Research & Methodology")
-    st.markdown("Topic Modeling Techniques:")
-    st.markdown("BERT (BERTopic): Explanation of the advanced NLP technique used for analyzing the data, and its application in this project.")
-    st.markdown("LDA as Baseline: Describe the use of Latent Dirichlet Allocation as a baseline for comparison and understanding.")
-    st.markdown("Data Sources: How the data is being collected")
-    st.markdown("Process Flow: Step-by-step breakdown of the analysis process, from data gathering to insights extraction.")
-
-if st.session_state.page == "LDA Baseline":
-    st.title("Insights & Findings of Latent Dirichlet Allocation (LDA) Model")
-    st.markdown("Priliminary Results: If available, share initial findings, such as common themes, concerns, or emotions expressed by youth regarding climate anxiety.")
-    st.markdown("Visualizations: ")
-    st.markdown("Key Trends: ")
-
-elif st.session_state.page == "BERTopic":
-    st.title("Insights & Findings of BERTopic Model")
-    st.markdown("Priliminary Results: If available, share initial findings, such as common themes, concerns, or emotions expressed by youth regarding climate anxiety.")
-    st.markdown("Visualizations: ")
-    st.markdown("Key Trends: ")