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import gradio as gr
from transformers import pipeline
import torch
# pipe = pipeline("image-to-text",
# model="Salesforce/blip-image-captioning-base")
pipe = pipeline(task="translation",
model="facebook/nllb-200-distilled-600M",
torch_dtype=torch.bfloat16)
# text_translated = pipe(text,
# src_lang="eng_Latn",
# tgt_lang="fra_Latn")
def launch(input):
out = pipe(input, src_lang="eng_Latn",
tgt_lang="fra_Latn")
return out[0]['translation_text']
iface = gr.Interface(launch,
inputs="text",
outputs="text")
iface.launch() |