import os
from langchain.agents import Tool
from langchain.memory import ConversationBufferMemory
from langchain.chat_models import ChatOpenAI
from langchain.utilities import GoogleSearchAPIWrapper
from langchain.agents import initialize_agent
import gradio as gr 

from dotenv import load_dotenv
load_dotenv()

#OPENAI_API_KEY =os.getenv("OPENAI_API_KEY")
GOOGLE_API_KEY =os.getenv("GOOGLE_API_KEY")
GOOGLE_CSE_ID =os.getenv("GOOGLE_CSE_ID")
repo_id=os.getenv("repo_id")

search = GoogleSearchAPIWrapper()
tools = [
    Tool(
    name ="Search" ,
    func=search.run,
    description="To be used when you need to answer questions about current events or you are not sure of an answer to user question."
    ),
]

memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True)

llm=ChatOpenAI(temperature=0)
#llm = OpenAI()
#llm = OpenAI()

agent_chain = initialize_agent(tools, llm, agent="chat-conversational-react-description",
                               verbose=True, memory=memory)

def chat_response(input_text):
    response = agent_chain.run(input=input_text)
    return response

interface = gr.Interface(fn=chat_response, inputs="text", outputs="text", description="Chat with a conversational agent")

interface.launch()