Updated from colab

app.py

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+
+from sentence_transformers import util,SentenceTransformer
+model = SentenceTransformer('clip-ViT-L-14')
+
+def predict(im1, im2):
+  img_emb = model.encode([im1, im2])
+  sim = util.cos_sim(img_emb[0], img_emb[1])
+  if sim > 0.82:
+    return sim, "SAME PERSON, UNLOCK PHONE"
+  else:
+    return sim, "DIFFERENT PEOPLE, DON'T UNLOCK"
+
+import gradio as gr
+description = "An application that can recognize if two faces belong to the same person or not"
+title = "Facial Identity Recognition System"
+
+interface = gr.Interface(fn=predict, 
+                         inputs= [gr.Image(type="pil", source="webcam"), 
+                                  gr.Image(type="pil", source="webcam")], 
+                         outputs= [gr.Number(label="Similarity"),
+                                   gr.Textbox(label="Message")]
+                         )
+
+interface.launch(debug=True)
+

requirements.txt

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+sentence-transformers