Update README.md

README.md

@@ -14,4 +14,54 @@ To use deploy this model a an Inference Endpoint you have to select `Custom` as
 
 The repository contains a requirements.txt to download the einops, timm and pillow library.
 
+## Call to endpoint example
 
+``` python
+import json
+from typing import List
+import requests as r
+import base64
+
+ENDPOINT_URL = "endpoint_url"
+HF_TOKEN = "token_key"
+
+def predict(path_to_image: str = None, text : str = None):
+    with open(path_to_image, "rb") as i:
+        b64 = base64.b64encode(i.read())
+
+    payload = {"inputs": 
+            {
+            "image": b64.decode("utf-8"),
+            "text": text
+            }
+        }
+
+    response = r.post(
+        ENDPOINT_URL, headers={"Authorization": f"Bearer {HF_TOKEN}"}, json=payload
+    )
+    return response.json()
+
+
+prediction = predict(
+    path_to_image="image/accidentdevoiture.webp", text="An image of a cat and a remote control"
+)
+
+print(json.dumps(prediction, indent=2))
+```
+
+## Expected result
+
+``` json
+{
+  "text_embedding": [-0.009289545938372612,
+    -0.03686045855283737,
+    ...
+    0.038627129048109055,
+    -0.01346363127231597]
+  "image_embedding": [-0.009289545938372612,
+    -0.03686045855283737,
+    ...
+    0.038627129048109055,
+    -0.01346363127231597]
+}
+```