yhay360
commited on
Commit
·
c1dc91f
1
Parent(s):
73493c1
chore: remove custom handler – use default pipeline
Browse files- handler.py +0 -49
handler.py
DELETED
@@ -1,49 +0,0 @@
|
|
1 |
-
import torch
|
2 |
-
from torchvision import transforms
|
3 |
-
from PIL import Image
|
4 |
-
import os
|
5 |
-
import json
|
6 |
-
|
7 |
-
# لو النموذج PyTorch .pth
|
8 |
-
class AIImageSourceHandler:
|
9 |
-
def __init__(self):
|
10 |
-
self.model = None
|
11 |
-
self.device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
12 |
-
self.labels = ['Real', 'Midjourney', 'DALL·E', 'StableDiffusion'] # عدّل حسب عدد التصنيفات
|
13 |
-
|
14 |
-
def initialize(self, model_dir: str):
|
15 |
-
# تحميل النموذج
|
16 |
-
model_path = os.path.join(model_dir, "model.pth") # عدّل الاسم لو مختلف
|
17 |
-
self.model = torch.load(model_path, map_location=self.device)
|
18 |
-
self.model.eval()
|
19 |
-
|
20 |
-
# إعداد التحويلات للصورة
|
21 |
-
self.transform = transforms.Compose([
|
22 |
-
transforms.Resize((224, 224)),
|
23 |
-
transforms.ToTensor(),
|
24 |
-
])
|
25 |
-
|
26 |
-
def preprocess(self, image: Image.Image):
|
27 |
-
image = image.convert("RGB")
|
28 |
-
return self.transform(image).unsqueeze(0).to(self.device)
|
29 |
-
|
30 |
-
def predict(self, inputs):
|
31 |
-
image = inputs.get("image")
|
32 |
-
if image is None:
|
33 |
-
return {"error": "No image provided"}
|
34 |
-
|
35 |
-
img_tensor = self.preprocess(image)
|
36 |
-
with torch.no_grad():
|
37 |
-
outputs = self.model(img_tensor)
|
38 |
-
probs = torch.nn.functional.softmax(outputs[0], dim=0)
|
39 |
-
|
40 |
-
results = {
|
41 |
-
label: float(probs[i]) for i, label in enumerate(self.labels)
|
42 |
-
}
|
43 |
-
return results
|
44 |
-
|
45 |
-
def __call__(self, data):
|
46 |
-
image_data = data.get("inputs") or data.get("image")
|
47 |
-
if isinstance(image_data, Image.Image):
|
48 |
-
return self.predict({"image": image_data})
|
49 |
-
return {"error": "Invalid input"}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|