added endpoint thats works with springboot

app.py

@@ -1,18 +1,26 @@
 from fastapi import FastAPI
 from pydantic import BaseModel
-from gradio_client import Client
+from gradio_client import Client, handle_file
 
 app = FastAPI()
 
-client = Client("https://kby-ai-facerecognition.hf.space/--replicas/ij0t7/")
+client = Client("MiniAiLive/FaceRecognition-LivenessDetection-Demo")
 
 @app.get("/face-recognition")
 async def face_recognition_get():
     image1 = "https://qvnhhditkzzeudppuezf.supabase.co/storage/v1/object/public/post-images/post-images/1752289670997-kevan.jpg"
     image2 = "https://qvnhhditkzzeudppuezf.supabase.co/storage/v1/object/public/post-images/post-images/1752289670997-kevan.jpg"
     result = client.predict(
-        image1,
-        image2,
-        fn_index=2
+            frame1=handle_file(image1),
+            frame2=handle_file(image2),
+            api_name="/face_compare"
     )
-    return {"result": result}
+
+    str_ = result  # Access first element in array
+    start_index = str_.find("Similarity")  # Find start index of "Similarity", -1 if not found
+    sliced_str = str_[start_index:] if start_index != -1 else ""
+    import re
+    decimal_match = re.search(r"<td>(0?\.\d+)<\/td>", sliced_str)
+    decimal_number = float(decimal_match.group(1)) if decimal_match else None
+    print("Similarity decimal:", decimal_number)
+    return {"result": "Confidence level: " + str(decimal_number)}

test.py

@@ -0,0 +1,9 @@
+from gradio_client import Client, handle_file
+
+client = Client("MiniAiLive/FaceRecognition-LivenessDetection-Demo")
+result = client.predict(
+		frame1=handle_file('https://qvnhhditkzzeudppuezf.supabase.co/storage/v1/object/public/post-images/post-images/1752289670997-kevan.jpg'),
+		frame2=handle_file('https://qvnhhditkzzeudppuezf.supabase.co/storage/v1/object/public/post-images/post-images/1752289670997-kevan.jpg'),
+		api_name="/face_compare"
+)
+print(result)