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from PIL import Image
from transformers import ViTFeatureExtractor, ViTForImageClassification
def classifier(img_path: str) -> str:
"""
Function that reads an image of a big cat (belonging to Panthera family) and returns the corresponding species
"""
img = Image.open(img_path)
model_panthera = ViTForImageClassification.from_pretrained(
"smaranjitghose/big-cat-classifier"
)
feature_extractor = ViTFeatureExtractor.from_pretrained(
"smaranjitghose/big-cat-classifier"
)
inputs = feature_extractor(images=img, return_tensors="pt")
outputs = model_panthera(**inputs)
logits = outputs.logits
predicted_class_idx = logits.argmax(-1).item()
return model_panthera.config.id2label[predicted_class_idx]
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