Merge branch 'main' of https://huggingface.co/spaces/ossaili/architectural_styles

EfficientNetV2B0.h5

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:f5cff674ff44315dd6fe737b4acd94ca9fc3e96f05c3063bfe098584264e82e3
+size 24507440

app.py

@@ -5,6 +5,10 @@ from models import efficientnetv2b0_25_arch_styles_Classifier
 
 
 demo = gr.Interface(
+<<<<<<< HEAD
     efficientnetv2b0_25_arch_styles_Classifier, "image", "label")
+=======
+    efficientnetv2b0_25_arch_styles_Classifier, "image", outputs=["text"])
+>>>>>>> 6dfb3eb853ff6baf202a3117ebb5b61755454768
 
 demo.launch()

models.py

@@ -41,9 +41,16 @@ def efficientnetv2b0_25_arch_styles_Classifier(image):
         224, 224), interpolation=cv2.INTER_CUBIC)
     img = tf.expand_dims(resized_image, 0)
     efficientnetv2b0 = tf.keras.models.load_model(
+<<<<<<< HEAD
         "models\EfficientNetV2B0.h5")
 
     y = efficientnetv2b0.predict(img).reshape(-1)
     y = (np.round(y, 3)).tolist()
+=======
+        "EfficientNetV2B0.h5")
+
+    y = efficientnetv2b0.predict(img).reshape(-1)
+    y = (np.round(y, 3)*100).tolist()
+>>>>>>> 6dfb3eb853ff6baf202a3117ebb5b61755454768
 
     return outputs(y)