app.py

from transformers import pipeline

hf_tag = "facebook/xglm-4.5B"
xglm_model = pipeline('text-generation', model=hf_tag)


def query_xglm(prompt:str, print_response=True, min_rl=40, max_rl=260):
    result =xglm_model(prompt, 
            do_sample=True,
            min_length=min_rl+len(prompt),
            max_length=max_rl+len(prompt),
            top_k=40,
            temperature=0.6,
            clean_up_tokenization_spaces=True)

    return result[0]['generated_text']
   

face=gr.Interface(
fn=query_xglm,
inputs=['text'],
outputs=['text'],
title='MULTILINGUAL TEXT GENERATION',
examples=samples
)
face.launch()