111

model/app_utils.py

@@ -13,10 +13,10 @@ import cv2
 from pytorch_grad_cam.utils.image import show_cam_on_image
 
 # Importing necessary components for the Gradio app
-from app.model import pth_model_static, pth_model_dynamic, cam, pth_processing
-from app.face_utils import get_box, display_info
-from app.config import DICT_EMO, config_data
-from app.plot import statistics_plot
+from model.model import pth_model_static, pth_model_dynamic, cam, pth_processing
+from model.face_utils import get_box, display_info
+from model.config import DICT_EMO, config_data
+from model.plot import statistics_plot
 
 mp_face_mesh = mp.solutions.face_mesh
 

model/description.py

@@ -6,7 +6,7 @@ License: MIT License
 """
 
 # Importing necessary components for the Gradio app
-from app.config import config_data
+from model.config import config_data
 
 DESCRIPTION_STATIC = f"""\
 # Static Facial Expression Recognition

model/model.py

@@ -13,8 +13,8 @@ from torchvision import transforms
 from pytorch_grad_cam import GradCAM
 
 # Importing necessary components for the Gradio app
-from app.config import config_data
-from app.model_architectures import ResNet50, LSTMPyTorch
+from model.config import config_data
+from model.model_architectures import ResNet50, LSTMPyTorch
 
 
 def load_model(model_url, model_path):

model/plot.py

@@ -2,7 +2,7 @@ import matplotlib.pyplot as plt
 import numpy as np 
 
 # Importing necessary components for the Gradio app
-from app.config import DICT_EMO, COLORS
+from model.config import DICT_EMO, COLORS
 
 
 def statistics_plot(frames, probs):