import gradio as gr
from langchain_community.chat_models import ChatGooglePalm
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain, SequentialChain
import os

from dotenv import load_dotenv

def configure():
    load_dotenv()


def generate_game_name_and_functions(type):
    os.getenv('GOOGLE_API_KEY')
    configure()

    llm = ChatGooglePalm(temperature=0.5)

    prompt_template_name = PromptTemplate(
       input_variables=['type'],
       template="I want to build a new, never build before {type} game, Suggest only one fancy and creative name"
    )
    name_chain = LLMChain(llm=llm, prompt=prompt_template_name, output_key="game_name")
    
    prompt_template_items = PromptTemplate(
        input_variables=['game_name'],
        template="You are a Gamer, Write a ten point 'About This Game' {game_name}.Write the general requiremnts for phone and system such as ram and graphic card etc. for this game. And how can we createe this {game_name} game in 10 steps, try to tell a technical person. Tell in bullet points and end every line with double comma"
    )

    function_chain = LLMChain(llm=llm, prompt=prompt_template_items, output_key='functions')

    chain = SequentialChain(chains=[name_chain, function_chain], input_variables=["type"], output_variables=["game_name","functions"])

    response = chain({'type': type})

    game_name = response["game_name"].strip()
    functions = response["functions"].strip().split(",,")
    functions_formatted = "\n".join([f"- 🎮 {item}" for item in functions])

    return f"{game_name}\n\n💡 About The Game\n\n{functions_formatted}"

iface = gr.Interface(
    fn=generate_game_name_and_functions,
    inputs="text",
    outputs="text",
    title="🎮 Game Idea Generator 🎮",
    description="Generate creative game ideas based on a game type!",
    interpretation="markdown"
)
iface.launch(share=False)