Update app.py

app.py

@@ -36,6 +36,13 @@ enhancement_type = st.sidebar.selectbox(
     ["Invert", "High Pass Filter", "Unsharp Masking", "Histogram Equalization", "CLAHE"]
 )
 
+st.sidebar.title("Detection")
+uploaded_detection = st.sidebar.file_uploader("Upload image to detect", type=["png", "jpg", "jpeg", "dcm"])
+# enhancement_type = st.sidebar.selectbox(
+#     "Enhancement Type", 
+#     ["Invert", "High Pass Filter", "Unsharp Masking", "Histogram Equalization", "CLAHE"]
+# )
+
 H_detection = 224
 W_detection = 224
 
@@ -88,8 +95,8 @@ model_detection = load_model_detection()
 
 # uploaded_file = st.sidebar.file_uploader("Choose an image...", type=["jpg", "jpeg", "png", "dcm"])
 
-if uploaded_file is not None:
-    file_bytes = np.asarray(bytearray(uploaded_file.read()), dtype=np.uint8)
+if uploaded_detection is not None:
+    file_bytes = np.asarray(bytearray(uploaded_detection.read()), dtype=np.uint8)
     image = cv2.imdecode(file_bytes, 1)
 
     # st.image(image, caption='Uploaded Image.', use_column_width=True)