na

app.py

@@ -1,5 +1,5 @@
 import numpy as np
-
+import tensorflow as tf
 import gradio as gr
 from models import efficientnetv2b0_25_arch_styles_Classifier
 

models.py

@@ -34,15 +34,12 @@ def outputs(y):
 
 
 def efficientnetv2b0_25_arch_styles_Classifier(image):
-    # file_path = f"./images/{file.filename}"
-    # with open(file_path, "wb") as f:
-    #     f.write(file.file.read())
+
     resized_image = cv2.resize(image, dsize=(
         224, 224), interpolation=cv2.INTER_CUBIC)
     img = tf.expand_dims(resized_image, 0)
     efficientnetv2b0 = tf.keras.models.load_model(
-        "models\EfficientNetV2B0.h5")
-
+        "EfficientNetV2B0.h5")
     y = efficientnetv2b0.predict(img).reshape(-1)
     y = (np.round(y, 3)).tolist()