Update app.py

app.py

@@ -9,7 +9,7 @@ import spaces
 import torch
 from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer
 
-DESCRIPTION = "# Mistral-7B v0.2"
+DESCRIPTION = "# Geitje-SPIN-7B"
 
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
@@ -19,7 +19,7 @@ DEFAULT_MAX_NEW_TOKENS = 1024
 MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096"))
 
 if torch.cuda.is_available():
-    model_id = "mistralai/Mistral-7B-Instruct-v0.2"
+    model_id = "davidberenstein1957/ultra-feedback-dutch-cleaned-hq-spin-geitje-7b-ultra-sft_iter2"
     model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype=torch.float16, device_map="auto")
     tokenizer = AutoTokenizer.from_pretrained(model_id)
 
@@ -107,11 +107,11 @@ chat_interface = gr.ChatInterface(
     ],
     stop_btn=None,
     examples=[
-        ["Hello there! How are you doing?"],
-        ["Can you explain briefly to me what is the Python programming language?"],
-        ["Explain the plot of Cinderella in a sentence."],
-        ["How many hours does it take a man to eat a Helicopter?"],
-        ["Write a 100-word article on 'Benefits of Open-Source in AI research'"],
+        ["Hi! How gaat het?"],
+        ["Kun je mij uitleggen wat Python is?"],
+        ["Leg het plot van  Assepoester uit in een zin."],
+        ["Hoe lang doet een persoon er over om een helicopter op te eten?"],
+        ["Schrijf een artikel met 100 woorden over de nut van AI."],
     ],
 )