GooseAI
GooseAI is a fully managed NLP-as-a-Service, delivered via API. GooseAI provides access to these models.
This notebook goes over how to use Langchain with GooseAI.
Install openai
The openai package is required to use the GooseAI API. Install openai using pip install openai.
%pip install --upgrade --quiet langchain-openai
Imports
import os
from langchain.chains import LLMChain
from langchain_community.llms import GooseAI
from langchain_core.prompts import PromptTemplate
Set the Environment API Key
Make sure to get your API key from GooseAI. You are given $10 in free credits to test different models.
from getpass import getpass
GOOSEAI_API_KEY = getpass()
os.environ["GOOSEAI_API_KEY"] = GOOSEAI_API_KEY
Create the GooseAI instance
You can specify different parameters such as the model name, max tokens generated, temperature, etc.
llm = GooseAI()
Create a Prompt Template
We will create a prompt template for Question and Answer.
template = """Question: {question}
Answer: Let's think step by step."""
prompt = PromptTemplate.from_template(template)
Initiate the LLMChain
llm_chain = LLMChain(prompt=prompt, llm=llm)
Run the LLMChain
Provide a question and run the LLMChain.
question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"
llm_chain.run(question)
Related
- LLM conceptual guide
- LLM how-to guides