File size: 641 Bytes
7d5afda 215ca4e ce3b8f8 215ca4e ce3b8f8 7d5afda e4c9e6f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 |
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()
|