FIX: Layoutdocumentlm, swarm docs

README.md

@@ -220,6 +220,8 @@ Swarms framework is not just a tool but a robust, scalable, and secure partner i
 ## Community
 - [Join the Swarms community here on Discord!](https://discord.gg/AJazBmhKnr)
 
+# Discovery Call
+Book a discovery call with the Swarms team to learn how to optimize and scale your swarm! [Click here to book a time that works for you!](https://calendly.com/swarm-corp/30min?month=2023-11)
 
 # License
 MIT

docs/swarms/index.md

@@ -4,7 +4,7 @@
 
 Swarms is a modular framework that enables reliable and useful multi-agent collaboration at scale to automate real-world tasks.
 
-
+<!-- 
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@@ -14,7 +14,7 @@ Swarms is a modular framework that enables reliable and useful multi-agent colla
 
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-</div>
+</div> -->
 
 <!-- [![Swarm Fest](images/swarmfest.png)](https://github.com/users/kyegomez/projects/1) -->
 

swarms/__init__.py

@@ -4,12 +4,8 @@
 warnings.filterwarnings("ignore", category=UserWarning)
 
 # disable tensorflow warnings
-
 os.environ["TF_CPP_MIN_LOG_LEVEL"] = "2"
 from swarms.agents import *  # noqa: E402, F403
 from swarms.swarms import *  # noqa: E402, F403
 from swarms.structs import *  # noqa: E402, F403
-from swarms.models import *  # noqa: E402, F403
-
-# from swarms.chunkers import *  # noqa: E402, F403
-from swarms.workers import *  # noqa: E402, F403
+from swarms.models import *  # noqa: E402, F403

swarms/models/layoutlm_document_qa.py

@@ -26,7 +26,9 @@ def __init__(
         model_name: str = "impira/layoutlm-document-qa",
         task_type: str = "document-question-answering",
     ):
-        self.pipeline = pipeline(self.task_type, model=self.model_name)
+        self.model_name = model_name
+        self.task_type = task_type
+        self.pipeline = pipeline(task_type, model=self.model_name)
 
     def __call__(self, task: str, img_path: str):
         """Call for model"""

swarms/structs/flow.py

@@ -1,25 +1,13 @@
-"""
-TODO:
-- add a method that scrapes all the methods from the llm object and outputs them as a string
-- Add tools
-- Add open interpreter style conversation
-- Add memory vector database retrieval
-- add batch processing
-- add async processing for run and batch run
-- add plan module
-- concurrent
-- Add batched inputs
-"""
 import asyncio
-import re
+import inspect
 import json
 import logging
+import random
+import re
 import time
 from typing import Any, Callable, Dict, List, Optional, Tuple
-from termcolor import colored
-import inspect
-import random
 
+from termcolor import colored
 
 # Prompts
 DYNAMIC_STOP_PROMPT = """

swarms/swarms/autobloggen.py

@@ -1,6 +1,6 @@
 from termcolor import colored
 
-from swarms.prompts.autoblogen import (
+from swarms.prompts.autobloggen import (
     DRAFT_AGENT_SYSTEM_PROMPT,
     REVIEW_PROMPT,
     SOCIAL_MEDIA_SYSTEM_PROMPT_AGENT,

swarms/swarms/autoscaler.py

@@ -2,20 +2,21 @@
 import queue
 import threading
 from time import sleep
-from swarms.utils.decorators import error_decorator, log_decorator, timing_decorator
-from swarms.structs.flow import Flow
-from typing import Dict, List, Callable
+from typing import Callable, Dict, List
+
 from termcolor import colored
 
+from swarms.structs.flow import Flow
+from swarms.utils.decorators import error_decorator, log_decorator, timing_decorator
+
 
 class AutoScaler:
     """
     The AutoScaler is like a kubernetes pod, that autoscales an agent or worker or boss!
-    # TODO Handle task assignment and task delegation
-    # TODO: User task => decomposed into very small sub tasks => sub tasks assigned to workers => workers complete and update the swarm, can ask for help from other agents.
-    # TODO: Missing, Task Assignment, Task delegation, Task completion, Swarm level communication with vector db
-
 
+    Wraps around a structure like SequentialWorkflow 
+    and or Flow and parallelizes them on multiple threads so they're split across devices 
+    and you can use them like that
     Args:
 
         initial_agents (int, optional): Number of initial agents. Defaults to 10.
@@ -35,12 +36,13 @@ class AutoScaler:
 
     Usage
     ```
-    # usage of usage
-    auto_scaler = AutoScaler(agent=YourCustomAgent)
-    auto_scaler.start()
+    from swarms.swarms import AutoScaler
+    from swarms.structs.flow import Flow
+
+    @AutoScaler
+    flow = Flow()
 
-    for i in range(100):
-    auto_scaler.add_task9f"task {I}})
+    flow.run("what is your name")
     ```
     """
 

swarms/workers/__init__.py

@@ -1 +0,0 @@
-# from swarms.workers.worker import Worker