metadata
license: apache-2.0
base_model:
- google/vit-base-patch16-224
pipeline_tag: image-classification
tags:
- image-classification
import gradio as gr
from transformers import pipeline
classifier = pipeline("image-classification", model="TPM-28/MemeDetector")
def classify_image(image):
predictions = classifier(image)
result = {pred['label']: pred['score'] for pred in predictions}
return result
interface = gr.Interface(
fn=classify_image,
inputs=gr.Image(type="pil"),
outputs=gr.Label(num_top_classes=3),
title="Meme Detector"
)
if __name__ == "__main__":
interface.launch()