<filename>inference.py
import torch
from commons import get_model,get_tensor


class_names=['Cardiomegaly','Effusion','No Finding']
model=get_model()
def get_disease_name(image_bytes):
    tensor=get_tensor(image_bytes)
    outputs=model(tensor)
    _,prediction=outputs.max(1)
    category=prediction.item()
    disease_name=class_names[category]

    return disease_name

<filename>inference.py
import torch
from commons import get_model,get_tensor


class_names=['Cardiomegaly','Effusion','No Finding']
model=get_model()
def get_disease_name(image_bytes):
    tensor=get_tensor(image_bytes)
    outputs=model(tensor)
    _,prediction=outputs.max(1)
    category=prediction.item()
    disease_name=class_names[category]

    return disease_name
