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import gradio as gr
from transformers import pipeline
# Load the model
pipe = pipeline("image-classification", model="prithivMLmods/Gym-Workout-Classifier-SigLIP2")
# Inference function
def classify_image(image):
return pipe(image)
# Gradio UI
demo = gr.Interface(
fn=classify_image,
inputs=gr.Image(type="pil"),
outputs="label",
title="Gym Workout Classifier"
)
demo.launch()
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