dynamic max loops, + gpt4clean up

README.md

@@ -39,7 +39,9 @@ Book a [1-on-1 Session with Kye](https://calendly.com/swarm-corp/30min), the Cre
 We have a small gallery of examples to run here, [for more check out the docs to build your own agent and or swarms!](https://docs.apac.ai)
 
 ### `Flow` Example
-- The `Flow` is a superior iteratioin of the `LLMChain` from Langchain, our intent with `Flow` is to create the most reliable loop structure that gives the agents their "autonomy" through 3 main methods of interaction, one through user specified loops, then dynamic where the agent parses a <DONE> token, and or an interactive human input verison, or a mix of all 3. 
+- Reliable Structure that provides LLMS autonomy
+- Extremely Customizeable with stopping conditions, interactivity, dynamical temperature, loop intervals, and so much more
+- Enterprise Grade + Production Grade: `Flow` is designed and optimized for automating real-world tasks at scale!
 
 ```python
 
@@ -86,9 +88,10 @@ out = flow.run("Generate a 10,000 word blog on health and wellness.")
 ------
 
 ### `SequentialWorkflow`
-- Execute tasks step by step by passing in an LLM and the task description!
-- Pass in flows with various LLMs
-- Save and restore Workflow states!
+- A Sequential swarm of autonomous agents where each agent's outputs are fed into the next agent
+- Save and Restore Workflow states!
+- Integrate Flow's with various LLMs and Multi-Modality Models
+
 ```python
 from swarms.models import OpenAIChat
 from swarms.structs import Flow
@@ -130,7 +133,6 @@ for task in workflow.tasks:
 
 ```
 
-
 ---
 
 ## Documentation
@@ -140,6 +142,9 @@ for task in workflow.tasks:
 ## Contribute
 - We're always looking for contributors to help us improve and expand this project. If you're interested, please check out our [Contributing Guidelines](CONTRIBUTING.md) and our [contributing board](https://github.com/users/kyegomez/projects/1)
 
+## Community
+- [Join the Swarms community here on Discord!](https://discord.gg/AJazBmhKnr)
+
 
 # License
 MIT

demos/ui_software_demo.py

@@ -0,0 +1,5 @@
+"""
+Autonomous swarm that optimizes UI autonomously
+
+GPT4Vision ->> GPT4 ->> UI
+"""

playground/models/gpt4_v.py

@@ -0,0 +1,15 @@
+from swarms.models.gpt4v import GPT4Vision
+
+api_key = ""
+
+gpt4vision = GPT4Vision(
+    openai_api_key=api_key,
+)
+
+img = "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0d/VFPt_Solenoid_correct2.svg/640px-VFPt_Solenoid_correct2.svg.png"
+
+task = "What is this image"
+
+answer = gpt4vision.run(task, img)
+
+print(answer)

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "2.1.4"
+version = "2.1.6"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]
@@ -24,7 +24,7 @@ classifiers = [
 [tool.poetry.dependencies]
 python = "^3.8.1"
 transformers = "*"
-openai = "0.28.1"
+openai = "*"
 langchain = "*"
 asyncio = "*"
 nest_asyncio = "*"
@@ -45,6 +45,8 @@ httpx = "*"
 tiktoken = "*"
 attrs = "*"
 ggl = "*"
+ratelimit = "*"
+
 beautifulsoup4 = "*"
 huggingface-hub = "*"
 pydantic = "*"

requirements.txt

@@ -36,6 +36,7 @@ tabulate
 colored
 griptape
 addict
+ratelimit
 albumentations
 basicsr
 termcolor

sequential_workflow_example.py

@@ -3,7 +3,7 @@
 from swarms.structs.sequential_workflow import SequentialWorkflow
 
 # Example usage
-api_key = ""  
+api_key = ""
 
 # Initialize the language flow
 llm = OpenAIChat(

swarms/__init__.py

@@ -9,6 +9,6 @@
 from swarms.agents import *
 from swarms.swarms import *
 from swarms.structs import *
-from swarms.models import *  # import * only works when __all__ = [] is defined in __init__.py
+from swarms.models import *  
 from swarms.chunkers import *
 from swarms.workers import *

swarms/memory/weaviate.py

@@ -0,0 +1,4 @@
+"""
+Weaviate API Client
+
+"""

swarms/models/fuyu.py

@@ -29,7 +29,6 @@ class Fuyu:
     >>> fuyu = Fuyu()
     >>> fuyu("Hello, my name is", "path/to/image.png")
 
-
     """
 
     def __init__(