main swarms class

DOCS/MONETIZATION.md

@@ -74,10 +74,16 @@ By offering a variety of services and payment models, Swarms.AI will be able to
 
 # Roadmap
 
+* Create a landing page for swarms apac.ai/product/swarms
+
 * Create Hosted Swarms API for anybody to just use without need for mega gpu infra, charge usage based pricing. Prerequisites for success => Swarms has to be extremely reliable + we need world class documentation and many daily users => how do we get many daily users? We provide a seamless and fluid experience, how do we create a seamless and fluid experience? We write good code that is modular, provides feedback to the user in times of distress, and ultimately accomplishes the user's tasks.
 
 * Hosted consumer and enterprise subscription as a service on The Domain, where users can interact with 1000s of APIs and ingest 1000s of different data streams.
 
 * Hosted dedicated capacity deals with mega enterprises on automating many operations with Swarms
 
-* Consulting partnerships with enterprises, massive contracts with performance based fee
+* Partnerships with enterprises, massive contracts with performance based fee
+
+
+
+

setup.py

@@ -4,7 +4,7 @@ from setuptools import setup, find_packages
 setup(
   name = 'swarms',
   packages = find_packages(exclude=[]),
-  version = '0.3.5',
+  version = '0.3.6',
   license='MIT',
   description = 'Swarms - Pytorch',
   author = 'Kye Gomez',

swarms/agents/swarms.py

@@ -46,7 +46,7 @@ from langchain.chains.qa_with_sources.loading import load_qa_with_sources_chain,
 from langchain.tools.human.tool import HumanInputRun
 
 # from swarms.agents.workers.auto_agent import MultiModalVisualAgent
-from swarms.agents.workers import multimodal_agent_tool
+# from swarms.agents.workers import multimodal_agent_tool
 from swarms.tools.main import Terminal, CodeWriter, CodeEditor, process_csv, WebpageQATool
 from swarms.tools.main import math_tool
 
@@ -233,7 +233,8 @@ class Swarms:
     def initialize_tools(self, llm):
         web_search = DuckDuckGoSearchRun()
         tools = [web_search, WriteFileTool(root_dir="./data"), ReadFileTool(root_dir="./data"), process_csv,
-                 multimodal_agent_tool, WebpageQATool(qa_chain=load_qa_with_sources_chain(llm)),
+                #  multimodal_agent_tool, 
+                WebpageQATool(qa_chain=load_qa_with_sources_chain(llm)),
                  Terminal, CodeWriter, CodeEditor, math_tool]
         return tools