ComponentsLLMsBananaBananaBanana is focused on building the machine learning infrastructure.This example goes over how to use LangChain to interact with Banana models# Install the package  https://docs.banana.dev/banana-docs/core-concepts/sdks/pythonpip install banana-dev# get new tokens: https://app.banana.dev/# We need three parameters to make a Banana.dev API call:# * a team api key# * the model's unique key# * the model's url slugimport osfrom getpass import getpass# You can get this from the main dashboard# at https://app.banana.devos.environ["BANANA_API_KEY"] = "YOUR_API_KEY"# OR# BANANA_API_KEY = getpass()from langchain.llms import Bananafrom langchain.prompts import PromptTemplatefrom langchain.chains import LLMChaintemplate = """Question: {question}Answer: Let's think step by step."""prompt = PromptTemplate(template=template, input_variables=["question"])# Both of these are found in your model's # detail page in https://app.banana.devllm = Banana(model_key="YOUR_MODEL_KEY", model_url_slug="YOUR_MODEL_URL_SLUG")llm_chain = LLMChain(prompt=prompt, llm=llm)question = "What NFL team won the Super Bowl in the year Justin Beiber was born?"llm_chain.run(question)PreviousBaidu QianfanNextBaseten