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app.py

@@ -555,7 +555,7 @@ def run_classify_data(input_type, input_data, description, categories,
         if mode:
             classify_kwargs['pdf_mode'] = mode
 
-        result = catllm.multi_class_ensemble(**classify_kwargs)
+        result = catllm.classify_ensemble(**classify_kwargs)
 
         processing_time = time.time() - start_time
         num_items = len(result)
@@ -1058,7 +1058,7 @@ with col_input:
                             status_text.text(f"Processing page {current_idx+1} of {total_pages} ({page_label}) ({progress*100:.0f}%){eta_str}")
 
                         try:
-                            result_df = catllm.multi_class_ensemble(
+                            result_df = catllm.classify_ensemble(
                                 survey_input=items_list,
                                 categories=categories_entered,
                                 models=[(model, model_source, actual_api_key)],
@@ -1113,7 +1113,7 @@ with col_input:
                             status_text.text(f"Processing item {current_idx+1} of {total} ({progress*100:.0f}%){eta_str}")
 
                         try:
-                            result_df = catllm.multi_class_ensemble(
+                            result_df = catllm.classify_ensemble(
                                 survey_input=items_list,
                                 categories=categories_entered,
                                 models=[(model, model_source, actual_api_key)],

requirements.txt

@@ -1,5 +1,5 @@
 streamlit>=1.32.0
-cat-llm[pdf]>=0.1.11
+cat-llm[pdf]>=0.1.12
 mistralai
 pydantic==2.10.6
 huggingface_hub<0.27.0