app.py

import streamlit as st

# App title
st.title("NLP Theory Blog")

# Sidebar for navigation
st.sidebar.title("Navigation")
pages = ["Introduction to NLP", "NLP Techniques"]
page = st.sidebar.radio("Go to:", pages)

# Content for each page
if page == "Introduction to NLP":
    st.header("What is Natural Language Processing (NLP)?")
    st.write("""
        Natural Language Processing (NLP) is a field of Artificial Intelligence that focuses on the interaction between computers and humans through natural language.
        It enables machines to understand, interpret, and respond to human language in a meaningful way.
    
        **Applications of NLP include:**
        - Sentiment Analysis
        - Machine Translation
        - Chatbots
        - Speech Recognition
    
        NLP combines computational linguistics with machine learning and deep learning techniques to process language.
    """)

elif page == "NLP Techniques":
    st.header("Common NLP Techniques")
    st.write("""
        NLP involves several techniques for processing and analyzing text and speech data. Here are some key techniques:

        1. **Tokenization:** Breaking text into smaller units like words or sentences.
        2. **Stopword Removal:** Eliminating common words (e.g., 'the', 'is') that may not contribute to meaning.
        3. **Stemming and Lemmatization:** Reducing words to their base or root form.
        4. **Part-of-Speech (POS) Tagging:** Identifying grammatical parts of speech in a text.
        5. **Named Entity Recognition (NER):** Extracting named entities like people, organizations, and locations.
        6. **Sentiment Analysis:** Determining the sentiment (positive, negative, neutral) of a text.
        7. **Text Summarization:** Producing a summary of a longer text.
        8. **Machine Translation:** Translating text from one language to another.

        These techniques are often used in combination to build sophisticated NLP applications.
    """)

# Pagination buttons
if st.button("Previous Page"):
    if page == "NLP Techniques":
        st.experimental_set_query_params(page="Introduction to NLP")

if st.button("Next Page"):
    if page == "Introduction to NLP":
        st.experimental_set_query_params(page="NLP Techniques")

# Handle query params to set the active page
query_params = st.experimental_get_query_params()
if "page" in query_params and query_params["page"]:
    page = query_params["page"][0]


# Footer
st.sidebar.write("---")
st.sidebar.write("Developed with ❤️ using Streamlit.")