aiya

app.py

@@ -4,11 +4,12 @@ import pandas as pd
 from sklearn.metrics import accuracy_score, precision_recall_fscore_support
 
 # Define the available models and tasks
-TASKS = ["sentiment-analysis", "text-classification"]
+TASKS = ["sentiment-analysis", "ner", "text-classification"]
 MODELS = {
     "DistilBERT": "distilbert-base-uncased",
     "BERT": "bert-base-uncased",
-    "RoBERTa": "roberta-base"
+    "RoBERTa": "roberta-base",
+    "LLaMA": "decapoda-research/llama-7b-hf"
     # Add other models here
 }