from transformers import AutoTokenizer, TFAutoModelForSeq2SeqLM
import gradio as gr
checkpoint = "google-t5/t5-small"
def language_translator(text):
    tokenizer = AutoTokenizer.from_pretrained(checkpoint)
    model = TFAutoModelForSeq2SeqLM.from_pretrained("tf_model/")
    tokenized = tokenizer([text], return_tensors='np')
    out = model.generate(**tokenized, max_length=128)
    with tokenizer.as_target_tokenizer():
        return tokenizer.decode(out[0],skip_special_tokens=True)
examples = [
    ["Hello, how are you today?"],
    ["Translate this sentence into another language."],
    ["Can you help me with this text?"],
]

demo = gr.Interface(fn=language_translator, inputs='text',outputs='text',title='Language Translator ENGLISH TO FRENCH',examples=examples)
demo.launch(debug=True,share=True)