clean up unused code

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "2.0.3"
+version = "2.0.4"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]

swarms/tools/mm_models.py

@@ -19,13 +19,12 @@
 )
 
 from swarms.prompts.prebuild.multi_modal_prompts import IMAGE_PROMPT
-from swarms.tools.base import tool
-from swarms.tools.main import BaseToolSet
+from swarms.tools.tool import tool
 from swarms.utils.logger import logger
 from swarms.utils.main import BaseHandler, get_new_image_name
 
 
-class MaskFormer(BaseToolSet):
+class MaskFormer:
     def __init__(self, device):
         print("Initializing MaskFormer to %s" % device)
         self.device = device
@@ -61,7 +60,7 @@ def inference(self, image_path, text):
         return image_mask.resize(original_image.size)
 
 
-class ImageEditing(BaseToolSet):
+class ImageEditing:
     def __init__(self, device):
         print("Initializing ImageEditing to %s" % device)
         self.device = device
@@ -116,7 +115,7 @@ def inference_replace(self, inputs):
         return updated_image_path
 
 
-class InstructPix2Pix(BaseToolSet):
+class InstructPix2Pix:
     def __init__(self, device):
         print("Initializing InstructPix2Pix to %s" % device)
         self.device = device
@@ -156,7 +155,7 @@ def inference(self, inputs):
         return updated_image_path
 
 
-class Text2Image(BaseToolSet):
+class Text2Image:
     def __init__(self, device):
         print("Initializing Text2Image to %s" % device)
         self.device = device
@@ -190,7 +189,7 @@ def inference(self, text):
         return image_filename
 
 
-class VisualQuestionAnswering(BaseToolSet):
+class VisualQuestionAnswering:
     def __init__(self, device):
         print("Initializing VisualQuestionAnswering to %s" % device)
         self.torch_dtype = torch.float16 if "cuda" in device else torch.float32