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import gradio as gr | |
from langchain.llms import GooglePalm | |
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 = GooglePalm(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!", | |
) | |
iface.launch(share = False) |