feat: support input audio

6 add more convert

README.md

@@ -17,6 +17,7 @@ To install, either:
 - Input Image
 - Input Float
 - Input Integer
+- Input Video
 
 Each input node supports setting a default value and additional configuration options.
 
@@ -25,6 +26,9 @@ Each input node supports setting a default value and additional configuration op
 - Save Image
 - Save Images
 - Save Video - VHS
+- Output Text
+- Output Float
+- Output Integer
 
 ### Convert Widgets to ShellAgent Inputs
 

comfy-nodes/input_audio.py

@@ -0,0 +1,195 @@
+import folder_paths
+import node_helpers
+
+from PIL import Image, ImageOps, ImageSequence, ImageFile
+import numpy as np
+import torch
+import os
+import uuid
+import tqdm
+import torchaudio
+import hashlib
+from comfy_extras.nodes_audio import SaveAudio
+
+
+class LoadAudio:
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = folder_paths.filter_files_content_types(
+            os.listdir(input_dir), ["audio", "video"])
+        return {"required": {"audio": (sorted(files), {"audio_upload": True})}}
+
+    CATEGORY = "audio"
+
+    RETURN_TYPES = ("AUDIO", )
+    FUNCTION = "load"
+
+    def load(self, audio):
+        audio_path = folder_paths.get_annotated_filepath(audio)
+        waveform, sample_rate = torchaudio.load(audio_path)
+        audio = {"waveform": waveform.unsqueeze(0), "sample_rate": sample_rate}
+        return (audio, )
+
+    @classmethod
+    def IS_CHANGED(s, audio):
+        image_path = folder_paths.get_annotated_filepath(audio)
+        m = hashlib.sha256()
+        with open(image_path, 'rb') as f:
+            m.update(f.read())
+        return m.digest().hex()
+
+    @classmethod
+    def VALIDATE_INPUTS(s, audio):
+        if not folder_paths.exists_annotated_filepath(audio):
+            return "Invalid audio file: {}".format(audio)
+        return True
+
+
+class ShellAgentPluginInputAudio:
+    @classmethod
+    def INPUT_TYPES(s):
+        input_dir = folder_paths.get_input_directory()
+        files = folder_paths.filter_files_content_types(
+            os.listdir(input_dir), ["audio", "video"])
+        return {
+            "required": {
+                "input_name": (
+                    "STRING",
+                    {"multiline": False, "default": "input_audio", "forceInput": False},
+                ),
+                "default_value": (
+                    sorted(files), {"audio_upload": True, "forceInput": False}
+                ),
+            },
+            "optional": {
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": "", "forceInput": False},
+                ),
+            }
+        }
+
+    RETURN_TYPES = ("AUDIO", )
+    FUNCTION = "load"
+
+    CATEGORY = "shellagent"
+
+    @classmethod
+    def validate(cls, **kwargs):
+        schema = {
+            "title": kwargs["input_name"],
+            "type": "string",
+            "default": kwargs["default_value"],
+            "description": kwargs.get("description", ""),
+            "url_type": "audio"
+        }
+        return schema
+
+    @classmethod
+    def VALIDATE_INPUTS(s, audio):
+        if not folder_paths.exists_annotated_filepath(audio):
+            return "Invalid audio file: {}".format(audio)
+        return True
+
+    @classmethod
+    def VALIDATE_INPUTS(s, input_name, default_value, description=""):
+        audio = default_value
+        if audio.startswith("http"):
+            return True
+
+        if not folder_paths.exists_annotated_filepath(audio):
+            return "Invalid audio file: {}".format(audio)
+        return True
+
+    def load(self, input_name, default_value=None, display_name=None, description=None):
+        input_dir = folder_paths.get_input_directory()
+        audio_path = default_value
+        try:
+            if audio_path.startswith('http'):
+                import requests
+                from io import BytesIO
+                print("Fetching audio from url: ", audio_path)
+                response = requests.get(audio_path)
+                response.raise_for_status()
+                audio_file = BytesIO(response.content)
+                waveform, sample_rate = torchaudio.load(audio_file)
+            else:
+                if not os.path.isfile(audio_path):  # abs path
+                    # local path
+                    audio_path = os.path.join(input_dir, audio_path)
+                waveform, sample_rate = torchaudio.load(audio_path)
+
+            audio = {"waveform": waveform.unsqueeze(
+                0), "sample_rate": sample_rate}
+            return (audio, )
+            # image = ImageOps.exif_transpose(image)
+            # image = image.convert("RGB")
+            # image = np.array(image).astype(np.float32) / 255.0
+            # image = torch.from_numpy(image)[None,]
+            # return [image]
+        except Exception as e:
+            raise e
+
+
+class ShellAgentSaveAudios(SaveAudio):
+    @classmethod
+    def INPUT_TYPES(s):
+        return {"required": {"audio": ("AUDIO", ),
+                "output_name": ("STRING", {"multiline": False, "default": "output_audio"},),
+                             "filename_prefix": ("STRING", {"default": "audio/ComfyUI"})},
+                "hidden": {"prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"},
+                }
+    # {
+    #         "required": {
+    #             "images": ("IMAGE", {"tooltip": "The audio to save."}),
+    #             "output_name": ("STRING", {"multiline": False, "default": "output_image"},),
+    #             "filename_prefix": ("STRING", {"default": "ComfyUI", "tooltip": "The prefix for the file to save. This may include formatting information such as %date:yyyy-MM-dd% or %Empty Latent Image.width% to include values from nodes."})
+    #         },
+    #         "hidden": {
+    #             "prompt": "PROMPT", "extra_pnginfo": "EXTRA_PNGINFO"
+    #         },
+    #     }
+
+    CATEGORY = "shellagent"
+
+    @classmethod
+    def validate(cls, **kwargs):
+        schema = {
+            "title": kwargs["output_name"],
+            "type": "array",
+            "items": {
+                "type": "string",
+                "url_type": "audio",
+            }
+        }
+        return schema
+
+    def save_audio(self, audio, filename_prefix="ComfyUI", prompt=None, extra_pnginfo=None, **extra_kwargs):
+        results = super().save_audio(audio, filename_prefix, prompt, extra_pnginfo)
+        results["shellagent_kwargs"] = extra_kwargs
+        return results
+    
+    
+class ShellAgentSaveAudio(ShellAgentSaveAudios):
+    @classmethod
+    def validate(cls, **kwargs):
+        schema = {
+            "title": kwargs["output_name"],
+            "type": "string",
+            "url_type": "audio",
+        }
+        return schema
+
+
+NODE_CLASS_MAPPINGS = {
+    "ShellAgentPluginInputAudio": ShellAgentPluginInputAudio,
+    "ShellAgentPluginSaveAudios": ShellAgentSaveAudios,
+    "ShellAgentPluginSaveAudio": ShellAgentSaveAudio,
+}
+
+NODE_DISPLAY_NAME_MAPPINGS = {
+    "ShellAgentPluginInputAudio": "Input Audio (ShellAgent Plugin)",
+    "ShellAgentPluginSaveAudios": "Save Audios (ShellAgent Plugin)",
+    "ShellAgentPluginSaveAudio": "Save Audio (ShellAgent Plugin)",
+}

comfy-nodes/input_image.py

@@ -1,11 +1,39 @@
 import folder_paths
-from PIL import Image, ImageOps
+import node_helpers
+
+from PIL import Image, ImageOps, ImageSequence, ImageFile
 import numpy as np
 import torch
 import os
 import uuid
 import tqdm
+from io import BytesIO
+import PIL
+import cv2
+from pillow_heif import register_heif_opener
 
+register_heif_opener()
+
+def safe_open_image(image_bytes):
+    try:
+        image_pil = Image.open(BytesIO(image_bytes))
+    except PIL.UnidentifiedImageError as e:
+        print(e)
+        # Convert response content (bytes) to a NumPy array
+        image_array = np.frombuffer(image_bytes, np.uint8)
+        
+        # Decode the image from the NumPy array (OpenCV format: BGR)
+        image_cv = cv2.imdecode(image_array, cv2.IMREAD_COLOR)
+        
+        if image_cv is not None:
+            # Convert the BGR image to RGB
+            image_rgb = cv2.cvtColor(image_cv, cv2.COLOR_BGR2RGB)
+            
+            # Convert the RGB NumPy array to a PIL Image
+            image_pil = Image.fromarray(image_rgb)
+        else:
+            raise ValueError("The image cannot be identified by neither PIL nor OpenCV")
+    return image_pil
 
 class ShellAgentPluginInputImage:
     @classmethod
@@ -32,8 +60,8 @@ class ShellAgentPluginInputImage:
             }
         }
 
-    RETURN_TYPES = ("IMAGE",)
+    RETURN_TYPES = ("IMAGE", "MASK")
-    RETURN_NAMES = ("image",)
+    # RETURN_NAMES = ("image",)
 
     FUNCTION = "run"
 
@@ -45,7 +73,7 @@ class ShellAgentPluginInputImage:
             "title": kwargs["input_name"],
             "type": "string",
             "default": kwargs["default_value"],
-            "description": kwargs["description"],
+            "description": kwargs.get("description", ""),
             "url_type": "image"
         }
         return schema
@@ -53,13 +81,61 @@ class ShellAgentPluginInputImage:
     @classmethod
     def VALIDATE_INPUTS(s, input_name, default_value, description=""):
         image = default_value
+        
         if image.startswith("http"):
             return True
         
+        if image == "":
+            return "Invalid image file: please check if the image is empty or invalid"
+        
+        if os.path.isfile(image):
+            return True
+        
         if not folder_paths.exists_annotated_filepath(image):
             return "Invalid image file: {}".format(image)
 
         return True
+    
+    def convert_image_mask(self, img):
+        output_images = []
+        output_masks = []
+        w, h = None, None
+
+        excluded_formats = ['MPO']
+        
+        for i in ImageSequence.Iterator(img):
+            i = node_helpers.pillow(ImageOps.exif_transpose, i)
+
+            if i.mode == 'I':
+                i = i.point(lambda i: i * (1 / 255))
+            image = i.convert("RGB")
+
+            if len(output_images) == 0:
+                w = image.size[0]
+                h = image.size[1]
+            
+            if image.size[0] != w or image.size[1] != h:
+                continue
+            
+            image = np.array(image).astype(np.float32) / 255.0
+            image = torch.from_numpy(image)[None,]
+            if 'A' in i.getbands():
+                mask = np.array(i.getchannel('A')).astype(np.float32) / 255.0
+                mask = 1. - torch.from_numpy(mask)
+            else:
+                mask = torch.zeros((64,64), dtype=torch.float32, device="cpu")
+            output_images.append(image)
+            output_masks.append(mask.unsqueeze(0))
+
+        if len(output_images) > 1 and img.format not in excluded_formats:
+            output_image = torch.cat(output_images, dim=0)
+            output_mask = torch.cat(output_masks, dim=0)
+        else:
+            output_image = output_images[0]
+            output_mask = output_masks[0]
+
+        return (output_image, output_mask)
+
 
     def run(self, input_name, default_value=None, display_name=None, description=None):
         input_dir = folder_paths.get_input_directory()
@@ -70,7 +146,7 @@ class ShellAgentPluginInputImage:
                 from io import BytesIO
                 print("Fetching image from url: ", image_path)
                 response = requests.get(image_path)
-                image = Image.open(BytesIO(response.content))
+                image = safe_open_image(response.content)
             elif image_path.startswith('data:image/png;base64,') or image_path.startswith('data:image/jpeg;base64,') or image_path.startswith('data:image/jpg;base64,'):
                 import base64
                 from io import BytesIO
@@ -82,13 +158,14 @@ class ShellAgentPluginInputImage:
                 if not os.path.isfile(image_path): # abs path
                     # local path
                     image_path = os.path.join(input_dir, image_path)
-                image = Image.open(image_path).convert("RGB")
+                image = node_helpers.pillow(Image.open, image_path)
 
-            image = ImageOps.exif_transpose(image)
+            return self.convert_image_mask(image)
-            image = image.convert("RGB")
+            # image = ImageOps.exif_transpose(image)
-            image = np.array(image).astype(np.float32) / 255.0
+            # image = image.convert("RGB")
-            image = torch.from_numpy(image)[None,]
+            # image = np.array(image).astype(np.float32) / 255.0
-            return [image]
+            # image = torch.from_numpy(image)[None,]
+            # return [image]
         except Exception as e:
             raise e
 

comfy-nodes/input_text.py

@@ -42,7 +42,7 @@ class ShellAgentPluginInputText:
             "title": kwargs["input_name"],
             "type": "string",
             "default": kwargs["default_value"],
-            "description": kwargs["description"],
+            "description": kwargs.get("description", ""),
         }
         if kwargs.get("choices", "") != "":
             schema["enums"] = eval(kwargs["choices"])
@@ -101,7 +101,7 @@ class ShellAgentPluginInputFloat:
             "title": kwargs["input_name"],
             "type": "number",
             "default": kwargs["default_value"],
-            "description": kwargs["description"],
+            "description": kwargs.get("description", ""),
         }
         if kwargs.get("choices", "") != "":
             schema["enums"] = eval(kwargs["choices"])
@@ -184,14 +184,58 @@ class ShellAgentPluginInputInteger:
     def run(self, input_name, default_value=None, display_name=None, description=None, **kwargs):
         return [default_value]
 
+class ShellAgentPluginInputBoolean:
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                "input_name": (
+                    "STRING",
+                    {"multiline": False, "default": "input_bool"},
+                ),
+            },
+            "optional": {
+                "default_value": (
+                    "BOOLEAN",
+                    {"default": False},
+                ),
+                "description": (
+                    "STRING",
+                    {"multiline": True, "default": ""},
+                ),
+            }
+        }
+
+    RETURN_TYPES = ("BOOLEAN",)
+    RETURN_NAMES = ("boolean",)
+
+    FUNCTION = "run"
+
+    CATEGORY = "shellagent"
+    
+    @classmethod
+    def validate(cls, **kwargs):
+        schema = {
+            "title": kwargs["input_name"],
+            "type": "boolean",
+            "default": kwargs["default_value"],
+            "description": kwargs.get("description", ""),
+        }
+        return schema
+
+    def run(self, input_name, default_value=None, display_name=None, description=None, **kwargs):
+        return [default_value]
+
 
 NODE_CLASS_MAPPINGS = {
     "ShellAgentPluginInputText": ShellAgentPluginInputText,
     "ShellAgentPluginInputFloat": ShellAgentPluginInputFloat,
-    "ShellAgentPluginInputInteger": ShellAgentPluginInputInteger
+    "ShellAgentPluginInputInteger": ShellAgentPluginInputInteger,
+    "ShellAgentPluginInputBoolean": ShellAgentPluginInputBoolean,
 }
 NODE_DISPLAY_NAME_MAPPINGS = {
     "ShellAgentPluginInputText": "Input Text (ShellAgent Plugin)",
     "ShellAgentPluginInputFloat": "Input Float (ShellAgent Plugin)",
     "ShellAgentPluginInputInteger": "Input Integer (ShellAgent Plugin)",
+    "ShellAgentPluginInputBoolean": "Input Boolean (ShellAgent Plugin)",
 }

comfy-nodes/input_video.py

@@ -4,7 +4,7 @@ import numpy as np
 import torch
 import os
 import uuid
-import tqdm
+from tqdm import tqdm
 
 
 # class ShellAgentPluginInputImage:
@@ -120,6 +120,15 @@ class ShellAgentPluginInputVideo:
             "url_type": "video"
         }
         return schema
+    
+    @classmethod
+    def VALIDATE_INPUTS(s, input_name, default_value, description=""):
+        video = default_value
+        if video.startswith("http"):
+            return True
+        if not folder_paths.exists_annotated_filepath(video):
+            return "Invalid video file: {}".format(video)
+        return True
 
     def run(self, input_name, default_value=None, description=None):
         input_dir = folder_paths.get_input_directory()
@@ -166,4 +175,4 @@ NODE_CLASS_MAPPINGS = {
 NODE_DISPLAY_NAME_MAPPINGS = {
     # "ShellAgentPluginInputImage": "Input Image (ShellAgent Plugin)",
     "ShellAgentPluginInputVideo": "Input Video (ShellAgent Plugin)"
-}
+}

comfy-nodes/output_image.py

@@ -75,11 +75,15 @@ class ShellAgentSaveVideoVHS:
         return schema
         
     def save_video(self, filenames, **kwargs):
-        status, (preview_image, video_path) = filenames
+        status, output_files = filenames
+        if len(output_files) == 0:
+            raise ValueError("the filenames are empty")
+        print("output_files", output_files)
+        video_path = output_files[-1]
         cwd = os.getcwd()
-        preview_image = os.path.relpath(preview_image)
+        # preview_image = os.path.relpath(preview_image)
-        video_path = os.path.relpath(video_path)
+        video_path = os.path.relpath(video_path, folder_paths.base_path)
-        results = {"ui": {"image": [preview_image], "video": [video_path]}}
+        results = {"ui": {"video": [video_path]}}
         return results
     
     

comfy-nodes/output_text.py

@@ -2,7 +2,8 @@
 json_type_mapipng = {
     "text": "string",
     "float": "number",
-    "integer": "integer"
+    "integer": "integer",
+    "boolean": "boolean",
 }
 
 class ShellAgentOutputText:
@@ -43,7 +44,7 @@ class ShellAgentOutputFloat(ShellAgentOutputText):
     def INPUT_TYPES(s):
         return {
             "required": {
-                s.TYPE_STR: ("STRING", {"tooltip": f"The {s.TYPE_STR} to output."}),
+                s.TYPE_STR: ("FLOAT", {"tooltip": f"The {s.TYPE_STR} to output."}),
                 "output_name": ("STRING", {"multiline": False, "default": f"output_{s.TYPE_STR}"},),
             },
         }
@@ -56,7 +57,19 @@ class ShellAgentOutputInteger(ShellAgentOutputText):
     def INPUT_TYPES(s):
         return {
             "required": {
-                s.TYPE_STR: ("STRING", {"tooltip": f"The {s.TYPE_STR} to output."}),
+                s.TYPE_STR: ("INT", {"tooltip": f"The {s.TYPE_STR} to output."}),
+                "output_name": ("STRING", {"multiline": False, "default": f"output_{s.TYPE_STR}"},),
+            },
+        }
+    
+class ShellAgentOutputBoolean(ShellAgentOutputText):
+    TYPE_STR = "boolean"
+    DESCRIPTION = "output the integer"
+    @classmethod
+    def INPUT_TYPES(s):
+        return {
+            "required": {
+                s.TYPE_STR: ("BOOLEAN", {"tooltip": f"The {s.TYPE_STR} to output."}),
                 "output_name": ("STRING", {"multiline": False, "default": f"output_{s.TYPE_STR}"},),
             },
         }
@@ -65,7 +78,8 @@ class ShellAgentOutputInteger(ShellAgentOutputText):
 NODE_CLASS_MAPPINGS = {
     "ShellAgentPluginOutputText": ShellAgentOutputText,
     "ShellAgentPluginOutputFloat": ShellAgentOutputFloat,
-    "ShellAgentPluginOutputInteger": ShellAgentOutputInteger
+    "ShellAgentPluginOutputInteger": ShellAgentOutputInteger,
+    "ShellAgentPluginOutputBoolean": ShellAgentOutputBoolean,
 }
 NODE_DISPLAY_NAME_MAPPINGS = {
     "ShellAgentPluginOutputText": "Output Text (ShellAgent Plugin)",

custom_routes.py

@@ -29,9 +29,12 @@ import atexit
 from datetime import datetime
 import nodes
 import traceback
+import re
+import keyword
+import uuid
 
-from .dependency_checker import resolve_dependencies
+from .dependency_checker import resolve_dependencies, inspect_repo_version
-
+from folder_paths import base_path as BASE_PATH
 
 WORKFLOW_ROOT = "shellagent/comfy_workflow"
 
@@ -45,6 +48,14 @@ CustomNodeTypeMap = {
     "ShellAgentPluginSaveVideoVHS": "video",
 }
 
+# Regular expression for a valid Python variable name
+variable_name_pattern = r'^[a-zA-Z_][a-zA-Z0-9_]*$'
+
+def is_valid_variable_name(name):
+    # Check if it matches the pattern and is not a keyword
+    if re.match(variable_name_pattern, name) and not keyword.iskeyword(name):
+        return True
+    return False
 
 def schema_validator(prompt):
     from nodes import NODE_CLASS_MAPPINGS, NODE_DISPLAY_NAME_MAPPINGS
@@ -84,6 +95,9 @@ def schema_validator(prompt):
                 continue
             if hasattr(node_cls, "validate"):
                 schema = node_cls.validate(**node_info["inputs"])
+                # validate schema
+                if not is_valid_variable_name(schema["title"]):
+                    raise ValueError(f'`{schema["title"]}` is not a valid variable name!')
             else:
                 raise NotImplementedError("the validate is not implemented")
             schemas[mode][node_id] = schema
@@ -158,16 +172,56 @@ async def shellagent_export(request):
         # for fname, dict_to_save in fname_mapping.items():
         #     with open(os.path.join(save_root, fname), "w") as f:
         #         json.dump(dict_to_save, f, indent=2)
+        warning_message = ""
+        if dependency_results.get("black_list_nodes", []):
+            warning_message = "The following nodes cannot be deployed to myshell:\n"
+            for item in dependency_results["black_list_nodes"]:
+                warning_message += f"  {item['name']}: {item['reason']}\n"
+                
+        if len(schemas["inputs"]) + len(schemas["outputs"]) == 0:
+            warning_message += f"The workflow contains neither inputs nor outputs!\n"
         
         return_dict = {
             "success": True,
-            "dependencies": dependency_results,
+            "dependencies": dependency_results["dependencies"],
+            "warning_message": warning_message,
             "schemas": schemas
         }
     except Exception as e:
         status = 400
         return_dict = {
             "success": False,
-            "message": str(traceback.format_exc()),
+            "message_detail": str(traceback.format_exc()),
+            "message": str(e),
         }
-    return web.json_response(return_dict, status=status)
+    return web.json_response(return_dict, status=status)
+
+
+@server.PromptServer.instance.routes.post("/shellagent/inspect_version") # data same as queue prompt, plus workflow_name
+async def shellagent_inspect_version(request):
+    data = await request.json()
+    comfyui_version = inspect_repo_version(BASE_PATH)
+    comfyui_shellagent_plugin_version = inspect_repo_version(os.path.dirname(__file__))
+    return_dict = {
+        "comfyui_version": comfyui_version,
+        "comfyui_shellagent_plugin_version": comfyui_shellagent_plugin_version,
+    }
+    return web.json_response(return_dict, status=200)
+
+
+@server.PromptServer.instance.routes.post("/shellagent/get_mac_addr") # data same as queue prompt, plus workflow_name
+async def shellagent_get_mac_addr(request):
+    data = await request.json()
+    return_dict = {
+        "mac_addr": uuid.getnode()
+    }
+    return web.json_response(return_dict, status=200)
+
+@server.PromptServer.instance.routes.post("/shellagent/check_exist") # check if the file or folder exist
+async def shellagent_check_exist(request):
+    data = await request.json()
+
+    return_dict = {
+        "exist": uuid.getnode() == data["mac_addr"] and os.path.exists(data["path"]) # really exist, instead of same name
+    }
+    return web.json_response(return_dict, status=200)

dependency_checker.py

@@ -5,25 +5,36 @@ import logging
 from functools import partial
 import re
 import glob
+import sys
 from folder_paths import models_dir as MODELS_DIR
 from folder_paths import base_path as BASE_PATH
+from folder_paths import get_full_path
 
-from .utils import compute_sha256, windows_to_linux_path
+
+from .utils.utils import compute_sha256, windows_to_linux_path
+from .utils.pytree import tree_map
 from .file_upload import collect_local_file, process_local_file_path_async
 
 
 model_list_json = json.load(open(os.path.join(os.path.dirname(__file__), "model_info.json")))
 model_loaders_info = json.load(open(os.path.join(os.path.dirname(__file__), "model_loader_info.json")))
 node_deps_info = json.load(open(os.path.join(os.path.dirname(__file__), "node_deps_info.json")))
+node_blacklist = json.load(open(os.path.join(os.path.dirname(__file__), "node_blacklist.json")))
+node_remote_skip_models = json.load(open(os.path.join(os.path.dirname(__file__), "node_remote.json")))
+
+model_suffix = [".ckpt", ".safetensors", ".bin", ".pth", ".pt", ".onnx", ".gguf", ".sft", ".ttf"]
+extra_packages = ["transformers", "timm", "diffusers", "accelerate"]
 
 
-model_suffix = [".ckpt", ".safetensors", ".bin", ".pth", ".pt", ".onnx"]
+def get_full_path_or_raise(folder_name: str, filename: str) -> str:
+    full_path = get_full_path(folder_name, filename)
+    if full_path is None:
+        raise FileNotFoundError(f"Model in folder '{folder_name}' with filename '{filename}' not found.")
+    return full_path
 
-def handle_model_info(ckpt_path):
+
+def handle_model_info(ckpt_path, filename, rel_save_path):
     ckpt_path = windows_to_linux_path(ckpt_path)
-    filename = os.path.basename(ckpt_path)
-    dirname = os.path.dirname(ckpt_path)
-    save_path = os.path.dirname(os.path.relpath(ckpt_path, MODELS_DIR))
     metadata_path = ckpt_path + ".json"
     if os.path.isfile(metadata_path):
         metadata = json.load(open(metadata_path))
@@ -35,7 +46,7 @@ def handle_model_info(ckpt_path):
         model_id = compute_sha256(ckpt_path)
         data = {
             "id": model_id,
-            "save_path": save_path,
+            "save_path": rel_save_path,
             "filename": filename,
         }
         json.dump(data, open(metadata_path, "w"))
@@ -45,8 +56,8 @@ def handle_model_info(ckpt_path):
         urls = []
         
     item = {
-        "filename": filename,
+        "filename": windows_to_linux_path(filename),
-        "save_path": windows_to_linux_path(save_path),
+        "save_path": windows_to_linux_path(rel_save_path),
         "urls": urls,
     }
     return model_id, item
@@ -106,49 +117,143 @@ def fetch_model_searcher_results(model_ids):
         results = None
     return results
 
+def split_package_version(require_line):
+    require_line = require_line.strip()
+    
+    pattern = r"^([a-zA-Z0-9_\-\[\]]+)(.*)$"
+    match = re.match(pattern, require_line.strip())
+    
+    if match:
+        package_name = match.group(1)  # First capturing group is the package name
+        version_specifier = match.group(2) if match.group(2) else ""  # Second group is the version, if present
+        return package_name, version_specifier
+    else:
+        assert len(require_line) == 0 or require_line.strip()[0] == "#", require_line
+        return None, None
+
+def get_package_version(package_name):
+    try:
+        if sys.version_info >= (3, 8):
+            from importlib.metadata import version, PackageNotFoundError
+            return version(package_name)
+        else:
+            from pkg_resources import get_distribution, DistributionNotFound
+            return get_distribution(package_name).version
+    except Exception:
+        return None
+    
 def resolve_dependencies(prompt, custom_dependencies): # resolve custom nodes and models at the same time
     from nodes import NODE_CLASS_MAPPINGS
+    import folder_paths
+    
     custom_nodes = []
-    ckpt_paths = []
+    ckpt_paths = {}
     
     file_mapping_dict = {}
+    
+    SKIP_FOLDER_NAMES = ["configs", "custom_nodes"]
+    def collect_unknown_models(filename, node_id, node_info, custom_node_path):
+        if type(filename) != str:
+            return
+        is_model = False
+        for possible_suffix in model_suffix:
+            if filename.endswith(possible_suffix):
+                is_model = True
+        if is_model:
+            print(f"find {filename}, is_model=True")
+            # find possible paths
+            matching_files = {}
+            # Walk through all subdirectories and files in the directory
+            rel_save_path = None
+            for possible_folder_name in folder_paths.folder_names_and_paths:
+                if possible_folder_name in SKIP_FOLDER_NAMES:
+                    print(f"skip {possible_folder_name}")
+                    continue
+                full_path = folder_paths.get_full_path(possible_folder_name, filename)
+                if full_path is None:
+                    continue
+                rel_save_path = os.path.relpath(folder_paths.folder_names_and_paths[possible_folder_name][0][0], folder_paths.models_dir)
+                matching_files[full_path] = {
+                    "rel_save_path": rel_save_path
+                }
+
+            print(f"matched files: {matching_files}")
+            
+            # step 2: search for all the files under "models"
+            
+            for full_path in glob.glob(f"{folder_paths.models_dir}/**/*", recursive=True):
+                if os.path.isfile(full_path) and full_path.endswith(filename) and full_path not in matching_files:
+                    folder_path = full_path[:-len(filename)]
+                    rel_save_path = os.path.relpath(folder_path, folder_paths.models_dir)
+                    matching_files[full_path] = {
+                        "rel_save_path": rel_save_path
+                    }
+                    
+            print(f"matched files: {matching_files}")
+            
+            # step 3: search inside the custom nodes
+            if custom_node_path is not None:
+                for full_path in glob.glob(f"{custom_node_path}/**/*", recursive=True):
+                    if os.path.isfile(full_path) and full_path.endswith(filename) and full_path not in matching_files:
+                        folder_path = full_path[:-len(filename)]
+                        rel_save_path = os.path.relpath(folder_path, folder_paths.models_dir)
+                        matching_files[full_path] = {
+                            "rel_save_path": rel_save_path
+                        }
+            
+            if len(matching_files) == 0:
+                raise ValueError(f"Cannot find model: `{filename}`, Node ID: `{node_id}`, Node Info: `{node_info}`")
+            
+            elif len(matching_files) <= 3:
+                for full_path, info in matching_files.items():
+                    ckpt_paths[full_path] = {
+                        "filename": filename,
+                        "rel_save_path": info["rel_save_path"]
+                    }
+                    return
+            else:
+                raise ValueError(f"Multiple models of `{filename}` founded, Node ID: `{node_id}`, Node Info: `{node_info}`, Possible paths: `{list(matching_files.keys())}`")
+            
+    
     for node_id, node_info in prompt.items():
         node_class_type = node_info.get("class_type")
         if node_class_type is None:
             raise NotImplementedError(f"Missing nodes founded, please first install the missing nodes using ComfyUI Manager")
         node_cls = NODE_CLASS_MAPPINGS[node_class_type]
+        
+        skip_model_check = False
+        
+        custom_node_path = None
         if hasattr(node_cls, "RELATIVE_PYTHON_MODULE") and node_cls.RELATIVE_PYTHON_MODULE.startswith("custom_nodes."):
             print(node_cls.RELATIVE_PYTHON_MODULE)
             custom_nodes.append(node_cls.RELATIVE_PYTHON_MODULE)
+            custom_node_path = os.path.join(BASE_PATH, node_cls.RELATIVE_PYTHON_MODULE.replace(".", "/"))
+            if node_cls.RELATIVE_PYTHON_MODULE[len("custom_nodes."):] in node_remote_skip_models:
+                skip_model_check = True
+                print(f"skip model check for {node_class_type}")
+                
         if node_class_type in model_loaders_info:
-            for field_name, filename in node_info["inputs"].items():
-                for item in model_loaders_info[node_class_type]:
-                    pattern = item["field_name"]
-                    if re.match(f"^{pattern}$", field_name):
-                        ckpt_path = os.path.join(MODELS_DIR, item["save_path"], filename)
-                        ckpt_paths.append(ckpt_path)
-        else:
             for field_name, filename in node_info["inputs"].items():
                 if type(filename) != str:
                     continue
-                is_model = False
+                for item in model_loaders_info[node_class_type]:
-                for possible_suffix in model_suffix:
+                    pattern = item["field_name"]
-                    if filename.endswith(possible_suffix):
+                    if re.match(f"^{pattern}$", field_name) and any([filename.endswith(possible_suffix) for possible_suffix in model_suffix]):
-                        is_model = True
+                        ckpt_path = get_full_path_or_raise(item["save_path"], filename)
-                if is_model:
+                        if hasattr(folder_paths, "map_legacy"):
-                    print(f"find {filename}, is_model=True")
+                            save_folder = folder_paths.map_legacy(item["save_path"])
-                    # find possible paths
+                        else:
-                    matching_files = []
+                            save_folder = item["save_path"]
-                    # Walk through all subdirectories and files in the directory
+                        rel_save_path = os.path.relpath(folder_paths.folder_names_and_paths[save_folder][0][0], folder_paths.models_dir)
-                    for possible_filename in glob.glob(os.path.join(MODELS_DIR, "**", "*"), recursive=True):
+                        ckpt_paths[ckpt_path] = {
-                        if os.path.isfile(possible_filename) and possible_filename.endswith(filename):
+                            "filename": filename,
-                            matching_files.append(possible_filename)
+                            "rel_save_path": rel_save_path
-                    print(f"matched files: {matching_files}")
+                        }
-                    if len(matching_files) == 1:
+        elif not skip_model_check:
-                        ckpt_paths.append(matching_files[0])
+            tree_map(lambda x: collect_unknown_models(x, node_id, node_info, custom_node_path), node_info["inputs"])
+
         list(map(partial(collect_local_file, mapping_dict=file_mapping_dict), node_info["inputs"].values()))
             
-    ckpt_paths = list(set(ckpt_paths))
     print("ckpt_paths:", ckpt_paths)
     custom_nodes = list(set(custom_nodes))
     # step 0: comfyui version
@@ -163,6 +268,7 @@ def resolve_dependencies(prompt, custom_dependencies): # resolve custom nodes an
     # step 1: custom nodes
     custom_nodes_list = []
     custom_nodes_names = []
+    requirements_lines = []
     for custom_node in custom_nodes:
         try:
             repo_info = inspect_repo_version(os.path.join(BASE_PATH, custom_node.replace(".", "/")))
@@ -175,20 +281,39 @@ def resolve_dependencies(prompt, custom_dependencies): # resolve custom nodes an
             custom_nodes_names.append(repo_info["name"])
         except:
             print(f"failed to resolve repo info of {custom_node}")
+        requirement_file = os.path.join(BASE_PATH, custom_node.replace(".", "/"), "requirements.txt")
+        if os.path.isfile(requirement_file):
+            try:
+                requirements_lines += open(requirement_file).readlines()
+            except:
+                pass
+    requirements_lines = list(set(requirements_lines))
+    requirements_packages = [package_name for package_name, version_specifier in map(split_package_version, requirements_lines) if package_name is not None]
+    package_names = set(requirements_packages + extra_packages)
+    pypi_deps = {
+        package_name: get_package_version(package_name)
+        for package_name in package_names
+    }
     
     for repo_name in custom_nodes_names:
         if repo_name in node_deps_info:
             for deps_node in node_deps_info[repo_name]:
                 if deps_node["name"] not in custom_nodes_names:
-                    repo_info = inspect_repo_version(os.path.join("custom_nodes", deps_node["name"]))
+                    repo_info = inspect_repo_version(os.path.join(BASE_PATH, "custom_nodes", deps_node["name"]))
                     deps_node["commit"] = repo_info["commit"]
                     custom_nodes_list.append(deps_node)
+                    custom_nodes_names.append(deps_node["name"])
+                    
+    black_list_nodes = []
+    for repo_name in custom_nodes_names:
+        if repo_name in node_blacklist:
+            black_list_nodes.append({"name": repo_name, "reason": node_blacklist[repo_name]["reason"]})
     
     # step 2: models
     models_dict = {}
     missing_model_ids = []
-    for ckpt_path in ckpt_paths:
+    for ckpt_path, ckpt_info in ckpt_paths.items():
-        model_id, item = handle_model_info(ckpt_path)
+        model_id, item = handle_model_info(ckpt_path, ckpt_info["filename"], ckpt_info["rel_save_path"])
         models_dict[model_id] = item
         if len(item["urls"]) == 0:
             item["require_recheck"] = True
@@ -207,12 +332,21 @@ def resolve_dependencies(prompt, custom_dependencies): # resolve custom nodes an
 
     # step 3: handle local files
     process_local_file_path_async(file_mapping_dict, max_workers=20)
-    files_dict = {v[0]: {"filename": windows_to_linux_path(os.path.relpath(v[2], BASE_PATH)), "urls": [v[1]]} for v in file_mapping_dict.values()}
+    files_dict = {
+        v[0]: {
+            "filename": windows_to_linux_path(os.path.relpath(v[2], BASE_PATH)) if not v[3] else v[2], 
+            "urls": [v[1]]} for v in file_mapping_dict.values()}
     
-    results = {
+    depencencies = {
         "comfyui_version": comfyui_version,
         "custom_nodes": custom_nodes_list,
         "models": models_dict,
         "files": files_dict,
+        "pypi": pypi_deps
     }
-    return results
+    
+    return_dict = {
+        "dependencies": depencencies,
+        "black_list_nodes": black_list_nodes,
+    }
+    return return_dict

file_upload.py

@@ -5,7 +5,7 @@ import time
 from concurrent.futures import ThreadPoolExecutor, as_completed
 import folder_paths
 
-from .utils import compute_sha256
+from .utils.utils import compute_sha256, get_alphanumeric_hash
 
 ext_to_type = {
     # image
@@ -27,7 +27,7 @@ ext_to_type = {
     '.m4a': 'audio/mp4',
 }
 
-def upload_file_to_myshell(local_file: str) -> str:
+def upload_file_to_myshell(local_file: str, target_path: str, is_abs) -> str:
     ''' Now we only support upload file one-by-one
     '''
     MYSHELL_KEY = os.environ.get('MYSHELL_KEY', "OPENSOURCE_FIXED")
@@ -51,8 +51,8 @@ def upload_file_to_myshell(local_file: str) -> str:
     response = requests.request("POST", server_url, headers=headers, files=files)
     if response.status_code == 200:
         end_time = time.time()
-        logging.info(f"{local_file} uploaded, time elapsed: {end_time - start_time}")
+        logging.info(f"{local_file} uploaded, time elapsed: {end_time - start_time}, will be saved to {target_path}")
-        return [sha256sum, response.json()['url'], local_file]
+        return [sha256sum, response.json()['url'], target_path, is_abs]
     else:
         raise Exception(
             f"[HTTP ERROR] {response.status_code} - {response.text} \n"
@@ -66,8 +66,11 @@ def collect_local_file(item, mapping_dict={}):
     abspath = os.path.abspath(item)
     input_abspath = os.path.join(input_dir, item)
     # required file type
+    is_abs = False
     if os.path.isfile(abspath):
         fpath = abspath
+        is_abs = True
+        
     elif os.path.isfile(input_abspath):
         fpath = input_abspath
     else:
@@ -75,7 +78,13 @@ def collect_local_file(item, mapping_dict={}):
     if fpath is not None:
         ext = os.path.splitext(fpath)[1]
         if ext.lower() in ext_to_type.keys():
-            mapping_dict[item] = fpath
+            if is_abs: # if use abs path, replace it
+                filename_hash = get_alphanumeric_hash(abspath)[:16]
+                count = len(mapping_dict)
+                target_path = f"/ShellAgentDeploy/ComfyUI/input/{filename_hash}_{count:06d}{ext}"
+                mapping_dict[item] = (fpath, target_path, is_abs)
+            else:
+                mapping_dict[item] = (fpath, fpath, is_abs)
             return
         else:
             return
@@ -86,7 +95,7 @@ def process_local_file_path_async(mapping_dict, max_workers=10):
     start_time = time.time()
     with ThreadPoolExecutor(max_workers=max_workers) as executor:
         # Submit tasks to the executor
-        futures = {executor.submit(upload_file_to_myshell, full_path): filename for filename, full_path in mapping_dict.items()}
+        futures = {executor.submit(upload_file_to_myshell, source_path, target_path, is_abs): filename for filename, (source_path, target_path, is_abs) in mapping_dict.items()}
         logging.info("submit done")
         # Collect the results as they complete
         for future in as_completed(futures):
@@ -95,7 +104,8 @@ def process_local_file_path_async(mapping_dict, max_workers=10):
                 result = future.result()
                 mapping_dict[filename] = result
             except Exception as e:
-                print(f"Error processing {filename}: {e}")
+                del mapping_dict[filename]
+                raise NotImplementedError(f"Error processing {filename}: {e}")
     end_time = time.time()
     logging.info(f"upload end, elapsed time: {end_time - start_time}")
     return

node_blacklist.json

@@ -0,0 +1,5 @@
+{
+    "comfyui-ollama": {
+        "reason": "this node requires installing an extra software on linux, which is currently unsupported"
+    }
+}

node_deps_info.json

@@ -1,19 +1,45 @@
 {
-  "ComfyUI-Easy-Use": [
+    "ComfyUI-Easy-Use": [
-    {
+        {
-      "name": "ComfyUI-Inspire-Pack",
+            "name": "ComfyUI-Inspire-Pack",
-      "repo": "https://github.com/ltdrdata/ComfyUI-Inspire-Pack.git",
+            "repo": "https://github.com/ltdrdata/ComfyUI-Inspire-Pack.git",
-      "commit": ""
+            "commit": ""
-    },
+        },
-    {
+        {
-      "name": "ComfyUI-Advanced-ControlNet",
+            "name": "ComfyUI-Advanced-ControlNet",
-      "repo": "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet.git",
+            "repo": "https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet.git",
-      "commit": ""
+            "commit": ""
-    },
+        },
-    {
+        {
-        "name": "ComfyUI_smZNodes",
+            "name": "ComfyUI_smZNodes",
-        "repo": "https://github.com/shiimizu/ComfyUI_smZNodes.git",
+            "repo": "https://github.com/shiimizu/ComfyUI_smZNodes.git",
-        "commit": ""
+            "commit": ""
-      }
+        },
-  ]
+        {
-}
+            "name": "ComfyUI_IPAdapter_plus",
+            "repo": "https://github.com/cubiq/ComfyUI_IPAdapter_plus.git",
+            "commit": ""
+        }
+    ],
+    "efficiency-nodes-comfyui": [
+        {
+            "name": "comfyui_controlnet_aux",
+            "repo": "https://github.com/Fannovel16/comfyui_controlnet_aux.git",
+            "commit": ""
+        }
+    ],
+    "ComfyUI-Anyline": [
+        {
+            "name": "comfyui_controlnet_aux",
+            "repo": "https://github.com/Fannovel16/comfyui_controlnet_aux.git",
+            "commit": ""
+        }
+    ],
+    "ComfyUI-Impact-Pack": [
+        {
+            "name": "ComfyUI-Impact-Subpack",
+            "repo": "https://github.com/ltdrdata/ComfyUI-Impact-Subpack.git",
+            "commit": ""
+        }
+    ]
+}

node_remote.json

@@ -0,0 +1,3 @@
+[
+    "BizyAir"
+]

requirements.txt

@@ -3,4 +3,6 @@ pydantic
 opencv-python
 imageio-ffmpeg
 brotli
-# logfire
+pillow_heif
+easydict
+# logfire

utils/utils.py

@@ -1,6 +1,8 @@
 import hashlib
 import time
 from pathlib import PurePosixPath, Path, PureWindowsPath
+import base64
+import re
 
 def windows_to_linux_path(windows_path):
     return PureWindowsPath(windows_path).as_posix()
@@ -17,4 +19,17 @@ def compute_sha256(file_path, chunk_size=1024 ** 2):
             sha256.update(chunk)
     print("finish compute sha256 for", file_path, f"time: {time.time() - start}")
     # Return the hexadecimal digest of the hash
-    return sha256.hexdigest()
+    return sha256.hexdigest()
+
+
+def get_alphanumeric_hash(input_string: str) -> str:
+    # Generate a SHA-256 hash of the input string
+    sha256_hash = hashlib.sha256(input_string.encode()).digest()
+    
+    # Encode the hash in base64 to get a string with [A-Za-z0-9+/=]
+    base64_hash = base64.b64encode(sha256_hash).decode('ascii')
+    
+    # Remove any non-alphanumeric characters (+, /, =)
+    alphanumeric_hash = re.sub(r'[^a-zA-Z0-9]', '', base64_hash)
+    
+    return alphanumeric_hash

web/shellagent.js

@@ -1,6 +1,9 @@
 import { app } from "../../scripts/app.js";
 import { api } from "../../scripts/api.js";
 
+var __defProp = Object.defineProperty;
+var __name = (target, value) => __defProp(target, "name", { value, configurable: true });
+
 app.registerExtension({
   name: "Shellagent.extension",
   async setup() {
@@ -173,6 +176,18 @@ app.registerExtension({
       }
     }
 
+    if (nodeData.name === "ShellAgentPluginInputAudio") {
+      if (
+        nodeData?.input?.required?.default_value?.[1]?.audio_upload === true
+      ) {
+        nodeData.input.required.audioUI = ["AUDIO_UI"];
+        nodeData.input.required.upload = [
+          "SHELLAGENT_AUDIOUPLOAD",
+          { widget: "default_value" },
+        ];
+      }
+    }
+
     if (nodeData.name === "ShellAgentPluginInputVideo") {
       addUploadWidget(nodeType, nodeData, "default_value");
       chainCallback(nodeType.prototype, "onNodeCreated", function () {
@@ -354,23 +369,81 @@ app.registerExtension({
 
   afterConfigureGraph(missingNodeTypes, app) {
     function addIn(type, nodeId) {
+      if(LiteGraph.slot_types_default_in[type] == null) {
+        LiteGraph.slot_types_default_in[type] = []
+      }
       if (LiteGraph.slot_types_default_in[type].indexOf(nodeId) === -1) {
         LiteGraph.slot_types_default_in[type].unshift(nodeId)
       }
     }
 
     function addOut(type, nodeId) {
+      if(LiteGraph.slot_types_default_out[type] == null) {
+        LiteGraph.slot_types_default_out[type] = []
+      }
       if (LiteGraph.slot_types_default_out[type].indexOf(nodeId) === -1) {
         LiteGraph.slot_types_default_out[type].unshift(nodeId)
       }
     }
 
     addIn('IMAGE', 'ShellAgentPluginInputImage')
+    addIn('AUDIO', 'ShellAgentPluginInputAudio')
     addOut('IMAGE', 'ShellAgentPluginSaveImage')
     addOut('IMAGE', 'ShellAgentPluginSaveImages')
+    addOut('AUDIO', 'ShellAgentPluginSaveAudios')
+    addOut('AUDIO', 'ShellAgentPluginSaveAudio')
     addOut('STRING', 'ShellAgentPluginOutputInteger')
     addOut('STRING', 'ShellAgentPluginOutputFloat')
     addOut('STRING', 'ShellAgentPluginOutputText')
+  },
+  getCustomWidgets() {
+    return {
+      SHELLAGENT_AUDIOUPLOAD(node, inputName) {
+        const audioWidget = node.widgets.find(
+          (w) => w.name === "default_value"
+        );
+        const audioUIWidget = node.widgets.find(
+          (w) => w.name === "audioUI"
+        );
+        const onAudioWidgetUpdate = /* @__PURE__ */ __name(() => {
+          audioUIWidget.element.src = api.apiURL(
+            getResourceURL(...splitFilePath(audioWidget.value))
+          );
+        }, "onAudioWidgetUpdate");
+        if (audioWidget.value) {
+          onAudioWidgetUpdate();
+        }
+        audioWidget.callback = onAudioWidgetUpdate;
+        const onGraphConfigured = node.onGraphConfigured;
+        node.onGraphConfigured = function() {
+          onGraphConfigured?.apply(this, arguments);
+          if (audioWidget.value) {
+            onAudioWidgetUpdate();
+          }
+        };
+        const fileInput = document.createElement("input");
+        fileInput.type = "file";
+        fileInput.accept = "audio/*";
+        fileInput.style.display = "none";
+        fileInput.onchange = () => {
+          if (fileInput.files.length) {
+            uploadFileAudio(audioWidget, audioUIWidget, fileInput.files[0], true);
+          }
+        };
+        const uploadWidget = node.addWidget(
+          "button",
+          inputName,
+          /* value=*/
+          "",
+          () => {
+            fileInput.click();
+          },
+          { serialize: false }
+        );
+        uploadWidget.label = "choose file to upload";
+        return { widget: uploadWidget };
+      }
+    };
   }
 });
 
@@ -744,4 +817,55 @@ function addLoadVideoCommon(nodeType, nodeData) {
       }
     });
   });
+}
+
+function getResourceURL(subfolder, filename, type = "input") {
+  const params = [
+    "filename=" + encodeURIComponent(filename),
+    "type=" + type,
+    "subfolder=" + subfolder,
+    app.getRandParam().substring(1)
+  ].join("&");
+  return `/view?${params}`;
+}
+
+function splitFilePath(path) {
+  const folder_separator = path.lastIndexOf("/");
+  if (folder_separator === -1) {
+    return ["", path];
+  }
+  return [
+    path.substring(0, folder_separator),
+    path.substring(folder_separator + 1)
+  ];
+}
+
+async function uploadFileAudio(audioWidget, audioUIWidget, file2, updateNode, pasted = false) {
+  try {
+    const body = new FormData();
+    body.append("image", file2);
+    if (pasted) body.append("subfolder", "pasted");
+    const resp = await api.fetchApi("/upload/image", {
+      method: "POST",
+      body
+    });
+    if (resp.status === 200) {
+      const data = await resp.json();
+      let path = data.name;
+      if (data.subfolder) path = data.subfolder + "/" + path;
+      if (!audioWidget.options.values.includes(path)) {
+        audioWidget.options.values.push(path);
+      }
+      if (updateNode) {
+        audioUIWidget.element.src = api.apiURL(
+          getResourceURL(...splitFilePath(path))
+        );
+        audioWidget.value = path;
+      }
+    } else {
+      window.alert(resp.status + " - " + resp.statusText);
+    }
+  } catch (error) {
+    window.alert(error);
+  }
 }