Update app.py

app.py

@@ -463,22 +463,4 @@ st.pyplot(fig)
 
 
 
-st,write('''
-In this code:
-
-1. The text input is provided through a textarea (`st.text_area`) and stored in the `text_input` variable.
-2. The user can specify the number of dictionary components using a slider (`st.slider`).
-3. When the "Analyze" button is clicked (`st.button`), the following steps are performed:
-   - The text is preprocessed using the `CountVectorizer` from scikit-learn.
-   - Dictionary learning is performed on the preprocessed text data.
-   - The dictionary components and their corresponding terms are displayed in a DataFrame using Streamlit's `st.dataframe`.
-   - A graph is created using the NetworkX library to visualize the connections between the terms based on their co-occurrence in the dictionary components.
-   - The graph is plotted using Matplotlib and displayed using Streamlit's `st.pyplot`.
-
-The text input is directly included in the code using a multiline string (triple quotes `'''`). This allows the user to analyze the provided text by clicking the "Analyze" button.
-
-The rest of the code remains the same as before, with the addition of the text input being provided through the textarea.
-
-''')
-