import gradio as gr
from composio_crewai import ComposioToolSet, App, Action
from crewai import Agent, Task, Crew, Process
from langchain_openai import ChatOpenAI
from dotenv import load_dotenv
import os

load_dotenv()

llm = ChatOpenAI(model="gpt-4o")

toolset = ComposioToolSet()
tools = toolset.get_tools(apps=[App.SERPAPI])

def find_hackernews_posts(message,history):
    profile = message

    hacnews_agent = Agent(
        role="Technical Researcher",
        goal="Find the best technical posts on Hackernews",
        backstory="You are a technical person who loves reading Hackernews and looking for technical posts. You spend all your time looking for interesting posts of the day.",
        llm=llm,
        tools=tools
    )

    hacnews_task = Task(
        description=f"""
            Use the serp tool to search for the user's twitter profile of name {profile} to read his bio, 
            and then scrape it. Based on his bio, find good technical hackernews posts suited to his bio.
            Return a list of 5 posts, each with a title and URL.
        """,
        expected_output="A list of 5 technical hackernews posts with titles and URLs",
        agent=hacnews_agent,
        tools=tools
    )

    crew = Crew(
        agents=[hacnews_agent],
        tasks=[hacnews_task],
        process=Process.sequential,
        verbose=True
    )

    result = crew.kickoff()
    
    # Return the result in the format expected by the Chatbot component
    return [(message, result.raw)]

chat_interface = gr.ChatInterface(
    fn=find_hackernews_posts,
    title="HackerNews Post Finder",
    description="Enter a Twitter username to find relevant technical HackerNews posts.",
    retry_btn=None,
    undo_btn=None,
    clear_btn="Clear"
)

if __name__ == "__main__":
    chat_interface.launch()