from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import gradio as gr

MODEL_NAME = "BernardEphraim/name-spell"

tokenizer = AutoTokenizer.from_pretrained(MODEL_NAME)
model = AutoModelForSeq2SeqLM.from_pretrained(MODEL_NAME)

def correct_name(text):
    inputs = tokenizer(text, return_tensors="pt")
    outputs = model.generate(**inputs)
    return tokenizer.decode(outputs[0], skip_special_tokens=True)

app = gr.Interface(
    fn=correct_name,
    inputs="text",
    outputs="text"
)

app.launch()