# Copyright 2023 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.
# [START aiplatform_sdk_chat]
from vertexai.preview.language_models import ChatModel, InputOutputTextPair
#↓追加した箇所↓
from google.cloud import aiplatform
aiplatform.init(project='yourproject')
def science_tutoring(temperature: float = .2) -> None:
chat_model = ChatModel.from_pretrained("chat-bison@001")
# TODO developer - override these parameters as needed:
parameters = {
"temperature": temperature, # Temperature controls the degree of randomness in token selection.
"max_output_tokens": 256, # Token limit determines the maximum amount of text output.
"top_p": 0.95, # 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.
}
chat = chat_model.start_chat(
context="My name is Miles. You are an astronomer, knowledgeable about the solar system.",
examples=[
InputOutputTextPair(
input_text='How many moons does Mars have?',
output_text='The planet Mars has two moons, Phobos and Deimos.',
),
]
)
response = chat.send_message("How many planets are there in the solar system?", **parameters)
print(f"Response from Model: {response.text}")
# [END aiplatform_sdk_chat]
return response
if __name__ == "__main__":
science_tutoring()
