typos

app.py

@@ -1,5 +1,7 @@
 from fastapi import FastAPI, Request
 import cv2
+from fastapi.middleware.cors import CORSMiddleware
+
 import numpy as np
 import base64
 from io import BytesIO
@@ -9,6 +11,14 @@ from Models import ResPoseNet,transform
 from PreProcessor import transform_data
 app = FastAPI()
 
+app.add_middleware(
+    CORSMiddleware,
+    allow_origins=["http://127.0.0.1:5500"],  # The domain from which you're making the request
+    allow_credentials=True,
+    allow_methods=["*"],  # Allow all HTTP methods
+    allow_headers=["*"],  # Allow all headers
+)
+
 # Load your model
 model = ResPoseNet()
 model.load_state_dict(torch.load('posev0.01126.pth', map_location=torch.device('cpu')))
@@ -36,8 +46,8 @@ async def predict(request: Request):
     img = decode_base64_image(data["image"])
     processed, _ , reverse = transform_data(img,[])
 
-    results = predict(processed,model)
+    results = predict_keypoints(processed,model)
     keypoints = [reverse(x,y) for x, y in results]
 
 
-    return {"keypoints": keypoints.tolist()}
+    return {"keypoints": keypoints}