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"""
Dummy model module.
This file contains a placeholder model class `DummyGenderModel` that returns
random predictions. Replace the `predict` method or the whole class with your
trained model loading + inference logic when ready.
"""
import random
from typing import Dict
from PIL.Image import Image
class DummyGenderModel:
def __init__(self):
self.version = "dummy-v0.1"
self._loaded = True
def is_loaded(self) -> bool:
return self._loaded
def predict(self, img: Image) -> Dict:
"""
Return a random prediction. Expects a PIL Image.
Returns a dict:
{
"label": "male" or "female",
"confidence": float between 0.5 and 1.0,
"probabilities": {"male": p_male, "female": p_female}
}
"""
# random base probability
p_male = random.random()
p_female = 1.0 - p_male
# calibrate to avoid extremely low confidences — push to [0.5, 1.0]
p_male = 0.5 + 0.5 * p_male
p_female = 1.0 - p_male
if p_male >= p_female:
label = "male"
# confidence = p_male
else:
label = "female"
# confidence = p_female
return {
"label": label,
# "confidence": round(confidence, 4),
# "probabilities": {"male": round(p_male, 4), "female": round(p_female, 4)}
}
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