app.py

import gradio as gr
from transformers import AutoModelWithLMHead, AutoTokenizer
model_name = "distilbert-base-uncased"
model = AutoModelWithLMHead.from_pretrained(model_name)
tokenizer = AutoTokenizer.from_pretrained(model_name)

def complete_sentence(sentence):
    input_ids = tokenizer.encode(sentence, return_tensors="pt")
    output = model.generate(input_ids, max_length=50, num_return_sequences=1)
    completed_sentence = tokenizer.decode(output[0], skip_special_tokens=True)
    return completed_sentence

iface = gr.Interface(fn=complete_sentence, inputs="text", outputs="text")

if __name__ == "__main__":
    iface.launch()