[debug] add some logs

app.py

@@ -227,8 +227,8 @@ def get_inference_model_by_args(args_to_parse):
             url_schemes={"http", "https", "mailto"},
             link_rel=None,
         )
-
-        print("input_str: ", input_str, "input_image: ", input_image)
+        logging.info(f"input_str type: {type(input_str)}, input_image type: {type(input_image)}.")
+        logging.info(f"input_str: {input_str}.")
 
         ## input valid check
         if not re.match(r"^[A-Za-z ,.!?\'\"]+$", input_str) or len(input_str) < 1:
@@ -265,6 +265,7 @@ def get_inference_model_by_args(args_to_parse):
             .unsqueeze(0)
             .cuda()
         )
+        logging.info(f"image_clip type: {type(image_clip)}.")
         if args_to_parse.precision == "bf16":
             image_clip = image_clip.bfloat16()
         elif args_to_parse.precision == "fp16":
@@ -280,6 +281,7 @@ def get_inference_model_by_args(args_to_parse):
             .unsqueeze(0)
             .cuda()
         )
+        logging.info(f"image_clip type: {type(image_clip)}.")
         if args_to_parse.precision == "bf16":
             image = image.bfloat16()
         elif args_to_parse.precision == "fp16":
@@ -305,7 +307,7 @@ def get_inference_model_by_args(args_to_parse):
         text_output = text_output.replace("\n", "").replace("  ", " ")
         text_output = text_output.split("ASSISTANT: ")[-1]
 
-        print("text_output: ", text_output)
+        logging.info(f"text_output type: {type(text_output)}, text_output: {text_output}.")
         save_img = None
         for i, pred_mask in enumerate(pred_masks):
             if pred_mask.shape[0] == 0: