text_example02.py

# Copyright 2024 Google LLC
#
# Licensed 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
#
#    https://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.

import os

PROJECT_ID = os.getenv("GOOGLE_CLOUD_PROJECT")


def interview() -> str:
    """Ideation example with a Large Language Model"""
    # [START generativeaionvertexai_sdk_ideation]
    import vertexai

    from vertexai.language_models import TextGenerationModel

    # TODO(developer): Update and un-comment below line
    # PROJECT_ID = "your-project-id"
    vertexai.init(project=PROJECT_ID, location="us-central1")
    parameters = {
        "temperature": 0.2,  # Temperature controls the degree of randomness in token selection.
        "max_output_tokens": 256,  # Token limit determines the maximum amount of text output.
        "top_p": 0.8,  # Tokens are selected from most probable to least until the sum of their probabilities equals the top_p value.
        "top_k": 40,  # A top_k of 1 means the selected token is the most probable among all tokens.
    }

    model = TextGenerationModel.from_pretrained("text-bison@002")
    response = model.predict(
        "Give me ten interview questions for the role of program manager.",
        **parameters,
    )
    print(f"Response from Model: {response.text}")
    # Example response:
    # Response from Model:  1. **Tell me about your experience managing programs.**
    # 2. **What are your strengths and weaknesses as a program manager?**
    # 3. **What do you think are the most important qualities for a successful program manager?**
    # ...

    # [END generativeaionvertexai_sdk_ideation]
    return response.text


if __name__ == "__main__":
    interview()