Update app.py

app.py

@@ -10,7 +10,7 @@ device = "cuda" if torch.cuda.is_available() else "cpu"
 
 # Load the tokenizer and model
 tokenizer = AutoTokenizer.from_pretrained("Abdulmohsena/Faseeh")
-model = AutoModelForSeq2SeqLM.from_pretrained("Abdulmohsena/Faseeh").to(device)
+model = AutoModelForSeq2SeqLM.from_pretrained("Abdulmohsena/Faseeh", revision="03226648afb02523acacfe8af1363cc5ddd9e795").to(device)
 
 def translate(text, temperature=0.1, tries=1):
     inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=256).to(device)