Update app.py

app.py

@@ -9,7 +9,8 @@ import spaces
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
 
-DESCRIPTION = "scb10x/typhoon-7b"
+#DESCRIPTION = "scb10x/typhoon-7b"
+DESCRIPTION = "openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ckpt-hf"
 
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
@@ -19,7 +20,7 @@ DEFAULT_MAX_NEW_TOKENS = 1024
 MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
 
 if torch.cuda.is_available():
-    model_id = "scb10x/typhoon-7b"
+    model_id = "openthaigpt/openthaigpt-1.0.0-alpha-7b-chat-ckpt-hf"
     model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
     tokenizer = AutoTokenizer.from_pretrained(model_id)