Update app.py

app.py

@@ -153,9 +153,9 @@ def get_translation_model(source_language, target_language):
     # Return the model using string concatenation
     return f"Helsinki-NLP/opus-mt-{source_language}-{target_language}"
 
-def translate_single_entry(entry, translator, target_language):
+def translate_single_entry(entry, translator):
     original_text = entry["text"]
-    translated_text = translator(original_text, target_language=target_language)[0]['translation_text']
+    translated_text = translator(original_text)[0]['translation_text']
     return {
         "start": entry["start"],
         "original": original_text,
@@ -172,7 +172,7 @@ def translate_text(transcription_json, source_language, target_language):
     # Use ThreadPoolExecutor to parallelize translations
     with concurrent.futures.ThreadPoolExecutor() as executor:
         # Submit all translation tasks and collect results
-        translate_func = lambda entry: translate_single_entry(entry, translator, target_language)
+        translate_func = lambda entry: translate_single_entry(entry, translator)
         translated_json = list(executor.map(translate_func, transcription_json))
 
     # Sort the translated_json by start time