Spaces:
Sleeping
Sleeping
File size: 1,219 Bytes
3d4f13a b5f7961 3d4f13a 4f63972 ef9b88b 3b68341 ef9b88b 965bd13 489241a ef9b88b 3b68341 4f70f9f b5f7961 3d4f13a 1335053 4f63972 1335053 4f63972 4f70f9f 1335053 4f63972 1335053 4f63972 4f70f9f 1335053 4f70f9f |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 |
import gradio as gr
from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
model_name = "dsfsi/nso-en-m2m100-gov"
tokenizer = M2M100Tokenizer.from_pretrained(model_name)
model = M2M100ForConditionalGeneration.from_pretrained(model_name)
print(tokenizer.lang_code_to_token)
tokenizer.src_lang = "ns"
model.config.forced_bos_token_id = tokenizer.get_lang_id("en")
def translate(inp):
inputs = tokenizer(inp, return_tensors="pt")
translated_tokens = model.generate(**inputs, max_length=512, forced_bos_token_id=tokenizer.get_lang_id("en"))
translated_text = tokenizer.decode(translated_tokens[0], skip_special_tokens=True)
return translated_text
description = """
<p>
<center>
Northern Sotho to English Translation
</center>
</p>
"""
article = "<p style='text-align: center'><a href='https://huggingface.co/dsfsi/nso-en-m2m100-gov' target='_blank'>by dsfsi</a></p>"
iface = gr.Interface(
fn=translate,
title="Northern Sotho to English Translation",
description=description,
article=article,
inputs=gr.components.Textbox(lines=5, placeholder="Enter Sotho text (maximum 5 lines)", label="Input"),
outputs="text"
)
iface.launch(enable_queue=True)
|