app.py

import gradio as gr

import torch
from transformers import AutoTokenizer, AutoModelForSequenceClassification

tokenizer = AutoTokenizer.from_pretrained("GeorgeDrayson/modernbert-ai-detection-raid-mage")
model = AutoModelForSequenceClassification.from_pretrained("GeorgeDrayson/modernbert-ai-detection-raid-mage")

def predict(text):
    inputs = tokenizer(text, return_tensors="pt")
    outputs = model(**inputs)
    logits = outputs.logits / 1.3 # temp
    probs = torch.nn.functional.softmax(logits, dim=-1)
    return probs[0][1].item()

def run(text):
    score = predict(text)
    print(score, 1.0-score)
    return {"ai": score, "human": 1.0-score}

demo = gr.Interface(fn=run, inputs="text", outputs="label")
demo.launch()