Update app.py

app.py

@@ -1,7 +1,37 @@
-from detoxify import Detoxify
 import streamlit as st
+from detoxify import Detoxify
+
+# Set Streamlit app title
+st.title("Clean Chat Control")
+
+# Create a text input box for user input
+input_text = st.text_area('Enter a sentence')
+
+# Check if there is input text
+if input_text:
+    # Add a button to trigger moderation
+    if st.button("Moderate"):
+        # Perform toxicity prediction
+        with st.spinner("Analyzing..."):
+            results = Detoxify('original').predict(input_text)
+
+        # Display the results in columns
+        st.header("Moderation Results:")
+        st.write("Toxicity: {:.2f}".format(results['toxicity']))
+        st.write("Severe Toxicity: {:.2f}".format(results['severe_toxicity']))
+        st.write("Obscene: {:.2f}".format(results['obscene']))
+        st.write("Threat: {:.2f}".format(results['threat']))
+        st.write("Insult: {:.2f}".format(results['insult']))
+        st.write("Identity Attack: {:.2f}".format(results['identity_attack']))
+
+# Add a brief description of the app
+st.markdown("""
+This simple app helps you analyze the content of a sentence for toxicity, threats, and insults. 
+Enter a sentence in the text box above and click the "Moderate" button to see the results.
+""")
 
-input = st.text_area('Enter a sentence')
-if input:
-    results = Detoxify('original').predict(input)
-    st.json(results)
+# Optionally, add a footer with additional information or credits
+st.markdown("""
+---
+Created with ❤️ by Joas
+""")