Update app.py

app.py

@@ -2,7 +2,7 @@
 import gradio as gr
 from transformers import pipeline
 import re
-from langdetect import detect
+import langid
 import numpy as np
 import pandas as pd
 
@@ -44,7 +44,7 @@ def run_benchmark():
         gen_output = gen_model(prompt, max_new_tokens=100, do_sample=True)[0]['generated_text'].strip()
         valid = is_palindrome(gen_output)
         cleaned_len = len(clean_text(gen_output))
-        detected_lang = detect(gen_output)
+        detected_lang = langid.classify(gen_output)[0]
 
         scores = []
         for rater in rater_models: