Update app.py

app.py

@@ -8,8 +8,8 @@ import gradio as gr
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 # Initialize the tokenizer and model
-tokenizer = AutoTokenizer.from_pretrained("./SMOL_1.7")
-model = AutoModelForCausalLM.from_pretrained("./SMOL_1.7").to(device)
+tokenizer = AutoTokenizer.from_pretrained("./SMOL")
+model = AutoModelForCausalLM.from_pretrained("./SMOL").to(device)
 
 # Initialize the sentence transformer model
 smodel = SentenceTransformer('./embed')