Enhanced with Engish/Tamil message and emojis

app.py

@@ -2,16 +2,16 @@ import torch
 import gradio as gr
 from transformers import pipeline
 
-# Load moderation model
+# Load the model
 moderator = pipeline("text-classification", model="KoalaAI/Text-Moderation")
 
-# Define function
+# Visual styling logic
 def moderate_text(input_text):
     result = moderator(input_text)
     label = result[0]['label']
     score = round(result[0]['score'] * 100, 2)
 
-     # Set color and emoji
+    # Set color and emoji
     if label == "toxic":
         color = "#FF4C4C"       # Bright red
         emoji = "😡"
@@ -25,14 +25,13 @@ def moderate_text(input_text):
         emoji = "😐"
         message = "⚠️ Uncertain classification"
 
-  html_output = f"""
-<div style='padding:1em;border-radius:10px;background-color:{color};color:white;font-weight:bold;font-size:16px'>
-    {emoji} {message} <br>
-    Confidence Score: {score}% <br>
-    <span style='font-size:14px; color:white; font-style:italic;'>Supports analysis in English and Tamil 🌐</span>
-</div>
-"""
-
+    # HTML-formatted response
+    html_output = f"""
+    <div style='padding:1em;border-radius:10px;background-color:{color};color:white;font-weight:bold;font-size:16px'>
+        {emoji} {message} <br>
+        Confidence Score: {score}%
+    </div>
+    """
     return html_output
 
 # Gradio interface