app.py

import gradio as gr
from transformers import AutoModelForCausalLM, AutoTokenizer

model_name = "openai-community/gpt2"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def generate_text(prompt):
    input_ids = tokenizer.encode(prompt, return_tensors='pt')
    output = model.generate(input_ids, max_length=100)
    return tokenizer.decode(output[0], skip_special_tokens=True)

def play_game(user_input):
    # Example of integrating a simple game mechanic
    prompt = f"You are in a dark forest. {user_input}"
    response = generate_text(prompt)
    return response

interface = gr.Interface(
    fn=play_game,
    inputs="text",
    outputs="text",
    title="Text-based RPG Adventure",
    description="Enter actions or dialogue to interact with the game world."
)

interface.launch()