Spaces:
Sleeping
Sleeping
File size: 1,156 Bytes
427bb9a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 |
import requests
import torch
from PIL import Image
from transformers import AlignProcessor, AlignModel
import gradio as gr
processor = AlignProcessor.from_pretrained("kakaobrain/align-base")
model = AlignModel.from_pretrained("kakaobrain/align-base")
def get_image_alignment_probabilities(url, is_url):
candidate_labels = ["advertisement", "not an advertisement"]
# Load image from URL
if is_url:
image = Image.open(requests.get(url, stream=True).raw).convert("RGB")
else:
image = Image.open(url).convert("RGB")
# Process inputs
inputs = processor(text=candidate_labels, images=image, return_tensors="pt")
# Compute outputs
with torch.no_grad():
outputs = model(**inputs)
# Extract logits per image
logits_per_image = outputs.logits_per_image
# Compute label probabilities using softmax
probs = logits_per_image.softmax(dim=1)
return {label: prob.item() for label, prob in zip(candidate_labels, probs[0])}
iface = gr.Interface(fn=get_image_alignment_probabilities,
inputs=["text", "checkbox"],
outputs="label")
iface.launch()
|