Add app and dependencies

app.py

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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()

requirements.txt

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+gradio
+transformers
+torch