Reduce API cross-section for huggingface in test (#3042)

tests/integrations/huggingface_hub/test_huggingface_hub.py

@@ -1,14 +1,8 @@
 import itertools
-import json
 
 import pytest
 from huggingface_hub import (
     InferenceClient,
-    TextGenerationOutput,
-    TextGenerationOutputDetails,
-    TextGenerationStreamOutput,
-    TextGenerationOutputToken,
-    TextGenerationStreamDetails,
 )
 from huggingface_hub.errors import OverloadedError
 
@@ -35,19 +29,15 @@ def test_nonstreaming_chat_completion(
     client = InferenceClient("some-model")
     if details_arg:
         client.post = mock.Mock(
-            return_value=json.dumps(
-                [
-                    TextGenerationOutput(
-                        generated_text="the model response",
-                        details=TextGenerationOutputDetails(
-                            finish_reason="TextGenerationFinishReason",
-                            generated_tokens=10,
-                            prefill=[],
-                            tokens=[],  # not needed for integration
-                        ),
-                    )
-                ]
-            ).encode("utf-8")
+            return_value=b"""[{
+                "generated_text": "the model response",
+                "details": {
+                    "finish_reason": "length",
+                    "generated_tokens": 10,
+                    "prefill": [],
+                    "tokens": []
+                }
+            }]"""
         )
     else:
         client.post = mock.Mock(
@@ -96,27 +86,13 @@ def test_streaming_chat_completion(
     client = InferenceClient("some-model")
     client.post = mock.Mock(
         return_value=[
-            b"data:"
-            + json.dumps(
-                TextGenerationStreamOutput(
-                    token=TextGenerationOutputToken(
-                        id=1, special=False, text="the model "
-                    ),
-                ),
-            ).encode("utf-8"),
-            b"data:"
-            + json.dumps(
-                TextGenerationStreamOutput(
-                    token=TextGenerationOutputToken(
-                        id=2, special=False, text="response"
-                    ),
-                    details=TextGenerationStreamDetails(
-                        finish_reason="length",
-                        generated_tokens=10,
-                        seed=0,
-                    ),
-                )
-            ).encode("utf-8"),
+            b"""data:{
+                "token":{"id":1, "special": false, "text": "the model "}
+            }""",
+            b"""data:{
+                "token":{"id":2, "special": false, "text": "response"},
+                "details":{"finish_reason": "length", "generated_tokens": 10, "seed": 0}
+            }""",
         ]
     )
     with start_transaction(name="huggingface_hub tx"):