tweaks

.idea/FindYourTwins.iml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<module type="PYTHON_MODULE" version="4">
+  <component name="NewModuleRootManager">
+    <content url="file://$MODULE_DIR$" />
+    <orderEntry type="inheritedJdk" />
+    <orderEntry type="sourceFolder" forTests="false" />
+  </component>
+</module>

.idea/inspectionProfiles/profiles_settings.xml

@@ -0,0 +1,6 @@
+<component name="InspectionProjectProfileManager">
+  <settings>
+    <option name="USE_PROJECT_PROFILE" value="false" />
+    <version value="1.0" />
+  </settings>
+</component>

.idea/modules.xml

@@ -0,0 +1,8 @@
+<?xml version="1.0" encoding="UTF-8"?>
+<project version="4">
+  <component name="ProjectModuleManager">
+    <modules>
+      <module fileurl="file://$PROJECT_DIR$/.idea/FindYourTwins.iml" filepath="$PROJECT_DIR$/.idea/FindYourTwins.iml" />
+    </modules>
+  </component>
+</project>

app.py

@@ -18,7 +18,7 @@ with gr.Blocks() as demo:
         """
         # Find Your Twins
 
-        Upload your face and find the most similar faces from [Face Aging Dataset](https://huggingface.co/datasets/BounharAbdelaziz/Face-Aging-Dataset) using Google's [VIT](https://huggingface.co/google/vit-base-patch16-224-in21k) model. For best results please use 1x1 ratio face images, take a look at examples. Also increasing count in the advanced section results with more accurate searches. The Vector similarity search is powered by [Upstash Vector](https://upstash.com) 🚀. You can check our blog [post](https://huggingface.co/blog/omerXfaruq/serverless-image-similarity-with-upstash-vector) to learn more.
+        Upload your face and find the most similar faces from [Face Aging Dataset](https://huggingface.co/datasets/BounharAbdelaziz/Face-Aging-Dataset) using Google's [VIT](https://huggingface.co/google/vit-base-patch16-224-in21k) model. For best results please use 1x1 ratio face images, take a look at examples. Also increasing count in the advanced section results with more accurate searches. Disclaimer, this demo doesn't find your twins :), it finds similar face parts, shapes, features(nose, cheek, face, forehead shapes) that are encoded in the model. The Vector similarity search is powered by [Upstash Vector](https://upstash.com) 🚀. You can check our blog [post](https://huggingface.co/blog/omerXfaruq/serverless-image-similarity-with-upstash-vector) to learn more.
         """
     )