Added conditional logic that decodes base64-encoded string inputs to be compatible with the ASR task pipeline.

Author: lopez-brau

src/huggingface_inference_toolkit/webservice_starlette.py

@@ -1,3 +1,4 @@
+import base64
 import os
 from pathlib import Path
 from time import perf_counter
@@ -95,6 +96,14 @@ async def predict(request):
                 f"Body needs to provide a inputs key, received: {orjson.dumps(deserialized_body)}"
             )
 
+        # Decode inputs conditioned on the task.
+        if "parameters" in deserialized_body and HF_TASK in {
+            "automatic-speech-recognition"
+        }:
+            deserialized_body["inputs"] = base64.b64decode(
+                deserialized_body["inputs"]
+            )
+
         # check for query parameter and add them to the body
         if request.query_params and "parameters" not in deserialized_body:
             deserialized_body["parameters"] = convert_params_to_int_or_bool(