AnandInguva commented on code in PR #30138:
URL: https://github.com/apache/beam/pull/30138#discussion_r1473248495
##########
sdks/python/apache_beam/ml/transforms/embeddings/huggingface.py:
##########
@@ -130,6 +142,88 @@ def get_model_handler(self):
def get_ptransform_for_processing(self, **kwargs) -> beam.PTransform:
# wrap the model handler in a _TextEmbeddingHandler since
# the SentenceTransformerEmbeddings works on text input data.
- return RunInference(
- model_handler=_TextEmbeddingHandler(self),
- inference_args=self.inference_args)
+ return (
+ RunInference(
+ model_handler=_TextEmbeddingHandler(self),
+ inference_args=self.inference_args,
+ ))
+
+
+class _InferenceAPIHandler(ModelHandler):
+ def __init__(self, config: 'InferenceAPIEmbeddings'):
+ super().__init__()
+ self._config = config
+
+ def load_model(self):
+ session = requests.Session()
+ session.headers.update(self._config.authorization_token)
+ return session
+
+ def run_inference(
+ self, batch, session: requests.Session, inference_args=None):
+ response = session.post(
+ self._config.api_url,
+ headers=self._config.authorization_token,
+ json={
+ "inputs": batch, "options": inference_args
+ })
+ return response.json()
+
+
+class InferenceAPIEmbeddings(EmbeddingsManager):
+ def __init__(
+ self,
+ hf_token: str,
Review Comment:
Done
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