adjust endpoint

app.py

@@ -4,21 +4,15 @@ from gradio_client import Client
 
 app = FastAPI()
 
-# Create Gradio client instance once
 client = Client("https://kby-ai-facerecognition.hf.space/--replicas/ij0t7/")
 
-# Pydantic model for input URLs
-class ImagesInput(BaseModel):
-    image1: str
-    image2: str
-
-@app.post("/face-recognition")
-async def face_recognition(data: ImagesInput):
-    # Call the Gradio client predict with the URLs from request body
+@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(
-        "https://qvnhhditkzzeudppuezf.supabase.co/storage/v1/object/public/post-images/post-images/1752289670997-kevan.jpg",  # parameter_8 image
-        "https://qvnhhditkzzeudppuezf.supabase.co/storage/v1/object/public/post-images/post-images/1752289670997-kevan.jpg",  # parameter_11 image
+        image1,
+        image2,
         fn_index=2
     )
-    # Return the prediction result as JSON
     return {"result": result}