update on 2023-02-15

app.py

@@ -43,7 +43,6 @@ def predict(image, threshold=20.0, results=3):
     ids, distances = index.get_nns_by_vector(
         face, 50, search_k=10000, include_distances=True
     )
-
     persons = {}
     for p, distance in zip(ids, distances):
         id = ANNOY_INDEX[p]
@@ -96,7 +95,7 @@ gr.Interface(
     inputs=[
         gr.components.Image(),
         gr.components.Slider(label="threshold",minimum=0.0, maximum=30.0, value=20.0),
-        gr.components.Slider(label="results", minimum=0, maximum=10, value=3),
+        gr.components.Slider(label="results", minimum=0, maximum=50, value=3, step=1),
     ],
     outputs=gr.outputs.JSON(label=""),
     title="Who is in the photo?",

face.db

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:30a88f182e70a674a54b6834e1ea73ce83ee34419f1ef683900a4eec9b1c6b78
-size 370925568
+oid sha256:c8736a4b4f662d0e09630e1e3be81e81f7c45f1e5de38e0525d1c406edcb08e5
+size 373736736

persons.zip

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8c231546f82880b3090444287e13b136a4bffb3fd0ed0dafb6614d49d8ee0420
-size 3007452
+oid sha256:09fc1011b1978c71215e85b7982c98ebbec3de8b2b79891675a74e232e1ca2a0
+size 3021219