vortex example test

pull/45/head
Kye 1 year ago
parent 7890beef3b
commit c6385915b2

@ -1,27 +1,27 @@
import os
from swarms.swarms.swarms import HierarchicalSwarm
# import os
# from swarms.swarms.swarms import HierarchicalSwarm
api_key = os.getenv("OPENAI_API_KEY")
# api_key = os.getenv("OPENAI_API_KEY")
# Initialize Swarms with your API key
swarm = HierarchicalSwarm(openai_api_key=api_key)
# # Initialize Swarms with your API key
# swarm = HierarchicalSwarm(openai_api_key=api_key)
# Define an objective
objective = """
Please make a web GUI for using HTTP API server.
The name of it is Swarms.
You can check the server code at ./main.py.
The server is served on localhost:8000.
Users should be able to write text input as 'query' and url array as 'files', and check the response.
Users input form should be delivered in JSON format.
I want it to have neumorphism-style. Serve it on port 4500.
# # Define an objective
# objective = """
# Please make a web GUI for using HTTP API server.
# The name of it is Swarms.
# You can check the server code at ./main.py.
# The server is served on localhost:8000.
# Users should be able to write text input as 'query' and url array as 'files', and check the response.
# Users input form should be delivered in JSON format.
# I want it to have neumorphism-style. Serve it on port 4500.
"""
# """
# Run Swarms
task = swarm.run(objective)
# # Run Swarms
# task = swarm.run(objective)
print(task)
# print(task)
@ -31,4 +31,16 @@ print(task)
# chat = OpenAI()
# response = chat("Hello World")
# print(response)
# print(response)
############# v3
import os
from swarms.workers.vortex_worker import VortexWorkerAgent
api_key = os.getenv("OPENAI_API_KEY")
agent = VortexWorkerAgent(openai_api_key=api_key)
agent.run("Help me find resources about renewable energy.")

@ -26,8 +26,6 @@ from pydantic import Field
llm = ChatOpenAI(model_name="gpt-4", temperature=1.0)
@contextmanager
def pushd(new_dir):
"""Context manager for changing the current working directory."""
@ -136,3 +134,9 @@ query_website_tool = WebpageQATool(qa_chain=load_qa_with_sources_chain(llm))
# !pip install duckduckgo_search
web_search = DuckDuckGoSearchRun()
# from swarms.agents.tools.code_intepretor import CodeInterpreter
# # @tool
# code_intepret = CodeInterpreter()
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