fix: correctly handle hf model selection in UI

app.py

@@ -385,9 +385,8 @@ Each segment is represented as a vector of these TF-IDF scores, and the cosine s
                 if model_name == "Facebook FastText (Pre-trained)":
                     internal_model_id = "facebook-fasttext-pretrained"
                 else:
-                    # Fallback or error if unexpected model_name, though UI should prevent this
-                    logger.warning(f"Unexpected model_name from UI: {model_name}. Defaulting to facebook-fasttext-pretrained.")
-                    internal_model_id = "facebook-fasttext-pretrained"
+                    # For Hugging Face models, the UI value is the correct model ID
+                    internal_model_id = model_name
 
                 df_results, word_counts_df_data, warning_raw = process_texts(
                     text_data,