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# import gradio as gr
# gr.Interface.load("models/meme-machines/autotrain-lolool-fine-tuned-47546116529").launch()
import gradio as gr
from transformers import pipeline
pipeline = pipeline(task="image-classification", model="meme-machines/autotrain-lolool-fine-tuned-47546116529")
def predict(image):
predictions = pipeline(image)
return {p["label"]: p["score"] for p in predictions}
gr.Interface(
predict,
inputs=gr.inputs.Image(label="Upload Dank Meme Candidate", type="filepath"),
outputs=gr.outputs.Label(num_top_classes=2),
title="Dank Meme or Not?",
).launch() |