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4dcc476 e835084 4dcc476 e835084 4dcc476 e835084 6dcf182 e835084 4dcc476 | 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 | import gradio as gr
import torch
from transformers import BlipProcessor, BlipForConditionalGeneration
model_id = "iGwangsu/my-blip-model"
processor = BlipProcessor.from_pretrained(model_id, use_fast=True)
model = BlipForConditionalGeneration.from_pretrained(
model_id,
low_cpu_mem_usage=True
)
def generate_caption(img):
if img is None: return "이미지를 업로드해주세요."
inputs = processor(images=img, return_tensors="pt")
with torch.no_grad():
out = model.generate(
**inputs,
max_length=50
)
caption = processor.decode(out[0], skip_special_tokens=True)
return caption
demo = gr.Interface(
fn=generate_caption,
inputs=gr.Image(type="pil"),
outputs="text",
title="BLIP Image Captioning"
)
demo.launch() |