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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() | |