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import gradio as gr
from transformers import BlipProcessor, BlipForConditionalGeneration
from PIL import Image
# 加载模型和处理器
processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-base")
model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-base")
def generate_caption(image):
inputs = processor(image, return_tensors="pt")
outputs = model.generate(**inputs)
description = processor.decode(outputs[0], skip_special_tokens=True)
return description
# 创建Gradio接口
gradio_app = gr.Interface(
fn=generate_caption,
inputs=gr.Image(type="pil"),
outputs="text",
title="图片描述生成器",
description="上传一张图片，生成相应的描述。"
)
if __name__ == "__main__":
gradio_app.launch()
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