Update app.py

app.py

@@ -90,17 +90,19 @@ def save_output_to_file(detected_lang, translated, sem_results, bleu_score):
             f.write(f"\nBLEU Score: {bleu_score}")
         return f.name
 
-# Main Pipeline
 def full_pipeline(user_input_text, target_lang_code, human_ref=""):
     if not user_input_text.strip():
-        return "Empty input", "", [], "", ""
+        return "Empty input", "", [], "", "", None
+
+    if len(user_input_text) > 2048:
+        return " Input too long", "Please enter shorter text (under 2000 characters).", [], "", "", None
 
     detected_lang = detect_language(user_input_text)
     src_nllb = xlm_to_nllb.get(detected_lang, "eng_Latn")
 
     translated = translate(user_input_text, src_nllb, target_lang_code)
     if not translated:
-        return detected_lang, " Translation failed", [], "", ""
+        return detected_lang, " Translation failed", [], "", "", None
 
     sem_results = search_semantic(translated)
     result_list = [f"{i+1}. {txt} (Score: {score:.2f})" for i, (txt, score) in enumerate(sem_results)]
@@ -125,12 +127,8 @@ def full_pipeline(user_input_text, target_lang_code, human_ref=""):
         bleu = corpus_bleu([translated], [[human_ref]])
         bleu_score = f"{bleu.score:.2f}"
 
-    # Create downloadable result file
     download_file_path = save_output_to_file(detected_lang, translated, sem_results, bleu_score)
     return detected_lang, translated, "\n".join(result_list), plot_path, bleu_score, download_file_path
-if len(user_input_text) > 2048:
-    return "Input too long", "Please enter shorter text (under 2000 characters).", [], "", "", None
-
 
 
 # Gradio Interface