File size: 814 Bytes
abf3702 cccb6e7 abf3702 cccb6e7 abf3702 cccb6e7 d3fbab9 abf3702 cccb6e7 abf3702 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
import gradio as gr
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer_code2desc = AutoTokenizer.from_pretrained("microsoft/codebert-base")
model_code2desc = AutoModelForCausalLM.from_pretrained("microsoft/codebert-base")
def code_to_description(code: str) -> str:
inputs = tokenizer_code2desc.encode("summarize: " + code, return_tensors="pt", max_length=512, truncation=True)
outputs = model_code2desc.generate(inputs, max_length=150, num_return_sequences=1, no_repeat_ngram_size=2, do_sample=True, top_k=50, top_p=0.95, temperature=0.8)
description = tokenizer_code2desc.decode(outputs[0], skip_special_tokens=True, clean_up_tokenization_spaces=True)
return description
iface = gr.Interface(fn=code_to_description, inputs="text", outputs="text", share=True)
iface.launch()
|