Update app.py

app.py

@@ -2,20 +2,20 @@ import streamlit as st
 from nltk import ngrams
 import nltk
 
-# Download NLTK data
+
 nltk.download('punkt')
 
-# Function to extract n-grams from the input text
+
 def extract_ngrams(text, n):
     tokens = nltk.word_tokenize(text)
     n_grams = list(ngrams(tokens, n))
     return n_grams
 
-# Main function for Streamlit app
+
 def main():
     # Set page title and favicon
     st.set_page_config(
-        page_title="N-gram Extractor",
+        page_title="N-gram Input Text",
         page_icon=":memo:",
         layout="wide"
     )
@@ -45,21 +45,20 @@ def main():
         unsafe_allow_html=True
     )
 
-    # Page layout
-    st.title("N-gram Extractor")
 
-    # User input for text passage
-    text_input = st.text_area("Enter a text passage:", "")
+    st.title("N-gram Input Text")
+
+   
+    text_input = st.text_area("Write a passage:", "")
 
-    # Slider to choose the value of n for n-grams
-    n = st.slider("Select the value of n for n-grams:", min_value=1, max_value=5, value=2)
+   
+    n = st.slider("Choose the value of n for n-grams:", min_value=1, max_value=5, value=2)
 
-    # Button to trigger n-gram extraction
+  
     if st.button("Extract N-grams"):
         if not text_input:
             st.warning("Please enter a text passage.")
         else:
-            # Extract and display n-grams
             n_grams_result = extract_ngrams(text_input, n)
             st.subheader(f"{n}-grams:")
             st.write(n_grams_result)