Update app.py

app.py

@@ -7,10 +7,10 @@ import gradio as gr
 torch.manual_seed(100)
 
 # Carregar o modelo e o tokenizer
-model = AutoModel.from_pretrained('openbmb/MiniCPM-V-2_6-gguf', trust_remote_code=True,
+model = AutoModel.from_pretrained('openbmb/MiniCPM-V', trust_remote_code=True,
                                   attn_implementation='sdpa', torch_dtype=torch.bfloat16)
 model = model.eval().cuda()
-tokenizer = AutoTokenizer.from_pretrained('openbmb/MiniCPM-V-2_6-gguf', trust_remote_code=True)
+tokenizer = AutoTokenizer.from_pretrained('openbmb/MiniCPM-V', trust_remote_code=True)
 
 # Função para interagir com o modelo
 def chat_with_model(image, question, chat_history=None):