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5650a80 883ff4b 5650a80 3083739 5650a80 883ff4b 7c9f9d7 883ff4b 3d1777f 3083739 7c9f9d7 e161a0b 3083739 883ff4b 7c9f9d7 5650a80 7c9f9d7 5650a80 | 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 | import gradio as gr
from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
model_id = "Salesforce/blip-image-captioning-large"
translate_model_id = "facebook/nllb-200-distilled-600M"
caption_eng = pipeline(model=model_id)
model = AutoModelForSeq2SeqLM.from_pretrained(translate_model_id)
tokenizer = AutoTokenizer.from_pretrained(translate_model_id)
translator = pipeline('translation', model=model, tokenizer=tokenizer, src_lang='eng_Latn', tgt_lang='nob_Latn')
def evaluate(input):
eng = caption_eng(input)[0]["generated_text"]
nob = translate(eng)[0]["translation_text"]
return (eng, nob)
def translate(text):
return translator(text, max_new_tokens=100)
iface = gr.Interface(fn=evaluate, inputs=gr.Image(type="pil"), outputs=[gr.Textbox(label="Caption (English)"), gr.Textbox(label="Caption (Bokmål)")])
if __name__ == "__main__":
iface.launch()
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