Create model.py

model.py

@@ -0,0 +1,18 @@
+import tensorflow as tf
+import cv2
+import numpy as np
+
+def bone_frac(img):
+    img = cv2.resize(img,(224,224))
+    model = tf.keras.models.load_model(r"C:\Users\kumar\Desktop\ice\best_model.h5")
+    result = model.predict(np.array([img]))
+    op=""
+    if result[0]<0.5:
+        op="Fracture"   
+    else:
+        op="Normal"
+    return op
+
+# img = cv2.imread(r"C:\Users\kumar\Downloads\WhatsApp Image 2023-04-17 at 7.20.40 PM.jpeg")
+# print(bone_frac(img))
+# # bone_frac(img)