| 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() | |