add chunk size function

app.py

@@ -172,7 +172,7 @@ def basic_translate(source_sentence, src_language, tgt_language):
         translations.append(translation)
     return translations 
 
-def summary_translate(src_text, temp_tgt_text, tgt_language):
+def summary_translate(src_text, temp_tgt_text, tgt_language, session_id):
     system_prompts = ["You are a helpful rephraser. You only output the rephrased result."]
     translations = []
     for prompt_style in system_prompts:
@@ -318,13 +318,13 @@ def process_text(text, src_language, target_language, max_iterations_value, thre
     bfn_combined_translation = ' '.join(bfn_translated_chunks)
     mpc_combined_translation = ' '.join(mpc_translated_chunks)
 
-    orig, best_score = summary_translate(text, org_combined_translation, target_language)
+    orig, best_score = summary_translate(text, org_combined_translation, target_language, session_id)
     orig_output = f"{orig}\n\nScore: {best_score:.2f}"
-    plan2align_trans, best_score = summary_translate(text, p2a_combined_translation, target_language)
+    plan2align_trans, best_score = summary_translate(text, p2a_combined_translation, target_language, session_id)
     plan2align_output = f"{plan2align_trans}\n\nScore: {best_score:.2f}"
-    best_candidate, best_score = summary_translate(text, bfn_combined_translation, target_language)
+    best_candidate, best_score = summary_translate(text, bfn_combined_translation, target_language, session_id)
     best_of_n_output = f"{best_candidate}\n\nScore: {best_score:.2f}"
-    mpc_candidate, best_score = summary_translate(text, mpc_combined_translation, target_language)
+    mpc_candidate, best_score = summary_translate(text, mpc_combined_translation, target_language, session_id)
     mpc_output = f"{mpc_candidate}\n\nScore: {mpc_score:.2f}"
 
     # if "Original" in translation_methods: