app.py

import gradio as gr
from transformers import pipeline

pipeline =pipeline("image-classification",model="p1atdev/siglip-tagger-test-3",trust_remote_code=True)

def predict(input_img):
 predictions = pipeline(input_img , threshold=0.5, #optional parameter defaults to 0
 return_scores = False #optional parameter defaults to False
 )
 return predictions

gradio_app = gr.Interface(
 predict,
 inputs=gr.Image(label="add your image here", sources=['upload', 'webcam'], type="pil"),
 outputs=gr.Text(),
 title="Image Annotator",
)

if __name__ == "__main__":
 gradio_app.launch()