rawwar commented on code in PR #37287:
URL: https://github.com/apache/airflow/pull/37287#discussion_r1484823816


##########
airflow/providers/google/cloud/hooks/vertex_ai/generative_model.py:
##########
@@ -0,0 +1,128 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one
+# or more contributor license agreements.  See the NOTICE file
+# distributed with this work for additional information
+# regarding copyright ownership.  The ASF licenses this file
+# to you under the Apache License, Version 2.0 (the
+# "License"); you may not use this file except in compliance
+# with the License.  You may obtain a copy of the License at
+#
+#   http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing,
+# software distributed under the License is distributed on an
+# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+# KIND, either express or implied.  See the License for the
+# specific language governing permissions and limitations
+# under the License.
+"""This module contains a Google Cloud Vertex AI Generative AI Model hooks."""
+
+from __future__ import annotations
+
+from typing import Sequence
+
+from vertexai.language_models import TextGenerationModel
+from vertexai.preview.generative_models import ChatSession, GenerativeModel
+
+from airflow.providers.google.common.hooks.base_google import GoogleBaseHook
+
+
+class LanguageModelHook(GoogleBaseHook):
+    """Hook for Google Cloud Vertex AI Language Model APIs."""
+
+    def __init__(
+        self,
+        gcp_conn_id: str = "google_cloud_default",
+        impersonation_chain: str | Sequence[str] | None = None,
+        **kwargs,
+    ):
+        if kwargs.get("delegate_to") is not None:
+            raise RuntimeError(
+                "The `delegate_to` parameter has been deprecated before and 
finally removed in this version"
+                " of Google Provider. You MUST convert it to 
`impersonate_chain`"
+            )
+        super().__init__(gcp_conn_id=gcp_conn_id, 
impersonation_chain=impersonation_chain, **kwargs)
+
+    def generate_text(
+        self,
+        prompt: str,
+        pretrained_model: str,
+        temperature: float,
+        max_output_tokens: int,
+        top_p: float,
+        top_k: int,
+    ) -> str:
+        """
+        Uses the Vertex AI PaLM API to generate natural language text.
+
+        :param prompt: Required. Inputs or queries that a user or a program 
gives
+            to the Vertex AI PaLM API, in order to elicit a specific response.
+        :param pretrained_model: A pretrained_model optimized for performing 
natural
+            language tasks such as classification, summarization, extraction, 
content
+            creation, and ideation.
+        :param temperature: Temperature controls the degree of randomness in 
token
+            selection.
+        :param max_output_tokens: Token limit determines the maximum amount of 
text
+            output.
+        :param top_p: Tokens are selected from most probable to least until 
the sum
+            of their probabilities equals the top_p value. Defaults to 0.8.
+        :param top_k: A top_k of 1 means the selected token is the most 
probable
+            among all tokens.
+        """
+
+        parameters = {
+            "temperature": temperature,
+            "max_output_tokens": max_output_tokens,
+            "top_p": top_p,
+            "top_k": top_k,
+        }
+
+        model = TextGenerationModel.from_pretrained(pretrained_model)
+
+        response = model.predict(
+            prompt,
+            **parameters,
+        )
+        return response.text
+
+
+class MultimodalModelHook(GoogleBaseHook):
+    """Hook for Google Cloud Vertex AI Multimodal Model APIs."""
+
+    def __init__(
+        self,
+        gcp_conn_id: str = "google_cloud_default",
+        impersonation_chain: str | Sequence[str] | None = None,
+        **kwargs,
+    ):
+        if kwargs.get("delegate_to") is not None:
+            raise RuntimeError(
+                "The `delegate_to` parameter has been deprecated before and 
finally removed in this version"
+                " of Google Provider. You MUST convert it to 
`impersonate_chain`"
+            )
+        super().__init__(gcp_conn_id=gcp_conn_id, 
impersonation_chain=impersonation_chain, **kwargs)
+
+    def chat_prompt_request(
+        self, prompt: str, chat: ChatSession | None = None, pretrained_model: 
str = "gemini-pro"
+    ) -> str:
+        """
+        Uses the Vertex AI Gemini Pro foundation model to generate natural 
language text.

Review Comment:
   ```suggestion
           Use the Vertex AI Gemini Pro foundation model to generate natural 
language text.
   ```



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