# 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="models/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() |