from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
import gradio as gr

checkpoint = "Mr-Vicky-01/English-Tamil-Translator"
tokenizer = AutoTokenizer.from_pretrained(checkpoint)
model = AutoModelForSeq2SeqLM.from_pretrained("Finetuned_model/")

def language_translator(text):
    tokenized = tokenizer([text], return_tensors='pt')
    out = model.generate(**tokenized, max_length=128)
    return tokenizer.decode(out[0],skip_special_tokens=True)

examples = [
    ["hello everyone"],
    ["hardwork never fails."],
    ["A room without books is like a body without a soul."],
    ["The Sun is approximately 4.6 billion years older than Earth."],
]

demo = gr.Interface(fn=language_translator, inputs='text',outputs='text',title='English to Tamil Translator',examples=examples)
demo.launch(debug=True,share=True)