support image list input

src/model.py

@@ -31,7 +31,9 @@
 import queue
 import threading
 from typing import Dict, List
-
+import base64
+from PIL import Image
+from io import BytesIO
 import numpy as np
 import torch
 import triton_python_backend_utils as pb_utils
@@ -397,12 +399,21 @@ async def generate(self, request):
             )
             if multi_modal_data_input_tensor:
                 multi_modal_data = multi_modal_data_input_tensor.as_numpy()[0].decode("utf-8")
-                # Build TextPrompt format prompt for multi modal models
                 multi_modal_data = json.loads(multi_modal_data)
-                prompt = {
-                    "prompt": prompt,
-                    "multi_modal_data": multi_modal_data
-                }
+                if "image" in multi_modal_data:
+                    image_list = []
+                    for image_base64_string in multi_modal_data["image"]:
+                        if "base64," in image_base64_string:
+                            image_base64_string = image_base64_string.split("base64,")[-1]
+                        image_data = base64.b64decode(image_base64_string)
+                        image = Image.open(BytesIO(image_data)).convert("RGB")
+                        image_list.append(image)
+                    prompt = {
+                        "prompt": prompt,
+                        "multi_modal_data": {
+                            "image": image_list
+                        }
+                    }
 
             stream = pb_utils.get_input_tensor_by_name(request, "stream")
             if stream: