Update app.py

app.py

@@ -8,11 +8,7 @@ import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
 
 DESCRIPTION = """\
-# Sahabat-AI
 
-Sahabat-AI (Indonesian language for “close friends”) is a collection of Large Language Models (LLMs) which has been pretrained and instruct-tuned for Indonesian language and its various dialects. Sahabat-AI ecosystem is co-initiated by Indonesian tech and telecommunication companies: GoTo Group and Indosat Ooredoo Hutchison.
-
-Llama3 8B CPT Sahabat-AI v1 Instruct is an Indonesian-focused model which has been fine-tuned with around 448,000 Indonesian instruction-completion pairs alongside an Indonesian-dialect pool consisting of 96,000 instruction-completion pairs in Javanese and 98,000 instruction-completion pairs in Sundanese. Additionally, we added a pool of 129,000 instruction-completion pairs in English.
 """
 
 MAX_MAX_NEW_TOKENS = 2048
@@ -21,7 +17,7 @@ MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
 
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
 
-model_id = "gmonsoon/StockSeaLLMs-7B-v1"
+model_id = "gmonsoon/SahabatAI-MediChatIndo-8B-v2"
 tokenizer = AutoTokenizer.from_pretrained(model_id)
 model = AutoModelForCausalLM.from_pretrained(
     model_id,