app.py

import gradio as gr
import semantic_kernel , autogen
from pydantic import BaseModel, ValidationError
from plugins.sk_bing_plugin import BingPlugin
from plugins.sk_web_pages_plugin import WebPagesPlugin
from planning.autogen_planner import AutoGenPlanner
from web_search_client import WebSearchClient
from web_search_client.models import SafeSearch
from azure.core.credentials import AzureKeyCredential
from semantic_kernel.core_skills.text_skill import TextSkill
from semantic_kernel.planning.basic_planner import BasicPlanner
from semantic_kernel import Kernel

# Configure your credentials here
bing_api_key = "ArXXXXdpJ"  # Replace with your Bing API key

# llm_config = {
#   "type": "openai",  # "azure" or "openai"
#   "openai_api_key": "sk-rR5XXXXm",  # OpenAI API Key
#   "azure_deployment": "",  # Azure OpenAI deployment name
#   "azure_api_key": "",  # Azure OpenAI API key in the Azure portal
#    "azure_endpoint": ""  # Endpoint URL for Azure OpenAI, e.g. https://contoso.openai.azure.com/
#}
llm_config = autogen.config_list_from_json(
    env_or_file="OAI_CONFIG_LIST.json",
    filter_dict={"model": {"gpt-4", "gpt-3.5-turbo-16k", "gpt-4-1106-preview"}}
)

builder_config_path = autogen.config_list_from_json(
    env_or_file="OAI_CONFIG_LIST.json",
    filter_dict={"model": {"gpt-4-1106-preview"}}
)

Zilliz_config = {
    "host": "your_milvus_host", # use Zilliz Cloud
    "port": "your_milvus_port", # use Zilliz Cloud
    "collection_name": "your_collection_name" # use Zilliz Cloud
}
kernel = semantic_kernel.Kernel()
kernel.import_skill(BingPlugin(bing_api_key))
kernel.import_skill(WebPagesPlugin())
sk_planner = AutoGenPlanner(kernel, llm_config, builder_config_path)

assistant = sk_planner.create_assistant_agent("Assistant")
def get_response(question, max_auto_reply):
    worker = sk_planner.create_user_agent("Worker", max_auto_reply=max_auto_reply, human_input="NEVER")
    assistant = sk_planner.create_assistant_agent("Assistant")
    worker.initiate_chat(assistant, message=question)
    return worker.get_response()

if __name__ == "__main__":
    question = input("Tonic's EasyAGI builds multi-agent systems that use Semantic-Kernel Plugins to automate your business operations ! Describe your problem in detail, then optionally bullet point a brief step by step way to solve it, then (or optionally) give a clear command or instruction to solve the issues above:")
    max_auto_reply = int(input("Set a maximum number of autoreplies by entering a number with minimum 10: "))
    response = get_response(question, max_auto_reply) 
    print("Response:", response)