Update README.md

README.md

@@ -12,7 +12,7 @@ To use deploy this model a an Inference Endpoint you have to select `Custom` as
 ### expected Request payload
 ```json
 {
-  "image": "/9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAMCAgICAgMC....", // base64 image as bytes
+  "inputs": "/9j/4AAQSkZJRgABAQEBLAEsAAD/2wBDAAMCAgICAgMC....", // base64 image as bytes
 }
 ```
 below is an example on how to run a request using Python and `requests`.
@@ -32,7 +32,7 @@ HF_TOKEN = ""
 def predict(path_to_image: str = None):
     with open(path_to_image, "rb") as i:
         b64 = base64.b64encode(i.read())
-    payload = {"inputs": {"image": b64.decode("utf-8")}}
+    payload = {"inputs": b64.decode("utf-8")}
     response = r.post(
         ENDPOINT_URL, headers={"Authorization": f"Bearer {HF_TOKEN}"}, json=payload
     )
@@ -43,11 +43,10 @@ prediction = predict(
 ```
 expected output
 ```python
-{'feature_vector': [0.016450975090265274,
+[0.016450975090265274,
   -0.5551009774208069,
   0.39800673723220825,
   -0.6809228658676147,
   2.053842782974243,
   -0.4712907075881958,...]
- }
 ```