added models

config.py

@@ -16,8 +16,10 @@ DEFAULT_MODELS = {
         "roberta-base",
         "albert-base-v2"
         "UMCU/CardioMedRoBERTa.nl",
-        "UMCU/CardioBERTa.nl",
+        "UMCU/CardioBERTa_base.nl",
         "UMCU/CardioBERTa.nl_clinical",
+        "UMCU/CardioDeBERTa.nl",
+        "UMCU/CardioDeBERTa.nl_clinical",
         "CLTL/MedRoBERTa.nl",
         "DTAI-KULeuven/robbert-2023-dutch-base",
         "DTAI-KULeuven/robbert-2023-dutch-large"
@@ -53,8 +55,6 @@ VIZ_SETTINGS = {
 
 # Processing settings
 PROCESSING_SETTINGS = {
-    "default_iterations": 1,
-    "max_iterations": 10,
     "epsilon": 1e-10  # Small value to avoid log(0)
 }
 
@@ -73,32 +73,27 @@ UI_SETTINGS = {
         {
             "text": "The quick brown fox jumps over the lazy dog.",
             "model": "gpt2",
-            "type": "decoder",
-            "iterations": 1
+            "type": "decoder"
         },
         {
             "text": "The capital of France is Paris.",
             "model": "bert-base-uncased",
-            "type": "encoder",
-            "iterations": 1
+            "type": "encoder"
         },
         {
             "text": "Quantum entanglement defies classical physics intuition completely.",
             "model": "distilgpt2",
-            "type": "decoder",
-            "iterations": 1
+            "type": "decoder"
         },
         {
             "text": "Buffalo buffalo Buffalo buffalo buffalo buffalo Buffalo buffalo.",
             "model": "gpt2",
-            "type": "decoder",
-            "iterations": 1
+            "type": "decoder"
         },
         {
             "text": "Machine learning algorithms require computational resources.",
             "model": "distilbert-base-uncased",
-            "type": "encoder",
-            "iterations": 1
+            "type": "encoder"
         }
     ]
 }