| import gradio as gr | |
| from transformers import RobertaTokenizer, T5ForConditionalGeneration | |
| tokenizer = RobertaTokenizer.from_pretrained('Salesforce/codet5-small') | |
| model = T5ForConditionalGeneration.from_pretrained('Salesforce/codet5-small') | |
| def generate_code(text): | |
| input_ids = tokenizer(text, return_tensors="pt").input_ids | |
| generated_ids = model.generate(input_ids, max_length=10) | |
| return tokenizer.decode(generated_ids[0], skip_special_tokens=True) | |
| examples = [ | |
| ["def greet(user): print(f'hello <extra_id_0>!')"], | |
| ] | |
| iface = gr.Interface(fn=generate_code, inputs="text", outputs="text", examples=examples) | |
| iface.launch() | |