app.py

import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM

model_name = "Salesforce/codegen-350M-mono"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)

def convert_rpg_code(prompt):
    inputs = tokenizer(prompt, return_tensors="pt")
    outputs = model.generate(**inputs, max_length=512)
    result = tokenizer.decode(outputs[0], skip_special_tokens=True)
    return result

iface = gr.Interface(
    fn=convert_rpg_code,
    inputs=gr.Textbox(label="RPG Fixed Form Code"),
    outputs=gr.Textbox(label="Free Form RPG Code"),
    allow_flagging="never"
)

iface.launch()