Update app.py

app.py

@@ -10,13 +10,12 @@ model, vis_processors, _ = load_model_and_preprocess(
     name=model_name,
     model_type=model_type,
     is_eval=True,
-    device=device,
-    dtype=torch.float16 
+    device=device
 )
+model=model.float()
 
 def infer(image, prompt, min_len, max_len, beam_size, len_penalty, repetition_penalty, top_p, decoding_method):
         use_nucleus_sampling = decoding_method == "Nucleus sampling"
-        print(image, prompt, min_len, max_len, beam_size, len_penalty, repetition_penalty, top_p, use_nucleus_sampling)
         image = vis_processors["eval"](image).unsqueeze(0).to(device)
 
         samples = {