app update

app.py

@@ -125,7 +125,7 @@ def get_severity_class(probability):
 # Header Section
 st.title("🚫 Offensive Speech Detection")
 st.markdown("""
-This application helps identify potentially offensive oontent in text provided by an user. 
+This application helps identify potentially offensive content in text provided by an user. 
 
 It uses a trained neural network to analyze text and determine if it contains offensive speech. 
 
@@ -134,26 +134,10 @@ It uses a trained neural network to analyze text and determine if it contains of
 1. Enter your text in the input box below
 2. The model will analyze the content and provide a prediction based on the model
 3. Results show both the classification and value predicted by the model
+4. The results is saved in the prediction history
 """)
 
 
-# Example inputs
-with st.expander("📝 Example Inputs"):
-    st.markdown("""
-    Try these example texts to test the model:
-    1. "Have a great day!"
-    2. "You are the worst person in the world."
-    3. "You're amazing!"
-    
-    Click on any example to copy it to the input box.
-    """)
-    if st.button("Use Example 1"):
-        st.session_state.user_input = "Have a great day!"
-    if st.button("Use Example 2"):
-        st.session_state.user_input = "You are the worst person in the world."
-    if st.button("Use Example 3"):
-        st.session_state.user_input = "You're amazing!"
-
 # FAQ Section
 with st.expander("❓ Frequently Asked Questions"):
     st.markdown("""
@@ -177,12 +161,12 @@ if st.button("Clear Input", key="clear_button"):
     st.session_state.user_input = ""
 
 # Text Input Section
-max_chars = 140 
+max_chars = 500 
 user_input = st.text_area(
     "Enter text to analyze:",
     height=100,
     key="user_input",
-    help="Enter the text you want to analyze for offensive content. Maximum 140 characters.",
+    help="Enter the text you want to analyze for offensive content. Maximum 500 characters.",
     max_chars=max_chars
 )