Spaces:
Sleeping
Sleeping
File size: 582 Bytes
dfec65b 87fe2e2 dfec65b 87fe2e2 a02cd44 ea9eea4 3ab5bd0 0c5d83d dfec65b dfc2140 dfec65b 329e771 dfec65b 0c5d83d |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 |
import torch
import gradio as gr
from transformers import pipeline
device = "cuda" if torch.cuda.is_available() else "cpu"
def predict(image):
classifier = pipeline(task="image-classification")
preds = classifier(image)
return {pred["label"]: round(float(pred["score"]), 4) for pred in preds}
description = """
"""
gr.Interface(
fn=predict,
inputs=[
gr.inputs.Image(label="Image to classify", type="pil"),
],
outputs=gr.outputs.Label(), # Use Label output instead of JSON
title="Image Classifier",
description=description
).launch()
|