Update

.gitattributes

@@ -32,4 +32,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.xz filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
+*.gif filter=lfs diff=lfs merge=lfs -text
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README.md

@@ -1,23 +1,22 @@
 ---
 license: mit
-language: 
-  - python
-thumbnail: "url to a thumbnail used in social sharing"
+language:
+  - en
 tags:
-- DICOM
-- cancer
-- medical
-- medical imaging
-- classification
-datasets:
-- [dataset1](https://www.breastcancer.org/facts-statistics](https://www.cancerimagingarchive.net/collection/breast-cancer-screening-dbt)
+  - image classification
+  - classification
+  - medical imaging
+  - medical
+  - dicom
+  - cancer
 metrics:
-- 62% Sensitivity
-base_model: "N/A"
+  - '62% Sensitivity'
 ---
 
 # HerBreastsFriend(HBF)
 
+![Demo](./assets/imgs-preview.gif)
+
 A model for identifying breast cancer in patients inspired by a study conducted by Duke & blogged about by jamanetwork[^1].
 
 Their studies finding's were that there's a lot of room for improvement. They came to this conclusion after building their
@@ -25,6 +24,8 @@ own AI model for breast cancer detection/prognoses and achieved a 65% on sensiti
 
 ### Details
 
+![Demo](./assets/matrix-previews.gif)
+
 - KNN strategy
   - n_neighbors=5
 - StandardScaler