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TextGen

GitHub:oobabooga/text-generation-webui A gradio web UI for running Large Language Models like LLaMA, llama.cpp, GPT-J, Pythia, OPT, and GALACTICA.

This example goes over how to use LangChain to interact with LLM models via the text-generation-webui API integration.

Please ensure that you have text-generation-webui configured and an LLM installed. Recommended installation via the one-click installer appropriate for your OS.

Once text-generation-webui is installed and confirmed working via the web interface, please enable the api option either through the web model configuration tab, or by adding the run-time arg --api to your start command.

Set model_url and run the example​

model_url = "http://localhost:5000"
import langchain
from langchain import PromptTemplate, LLMChain
from langchain.llms import TextGen

langchain.debug = True

template = """Question: {question}

Answer: Let's think step by step."""


prompt = PromptTemplate(template=template, input_variables=["question"])
llm = TextGen(model_url=model_url)
llm_chain = LLMChain(prompt=prompt, llm=llm)
question = "What NFL team won the Super Bowl in the year Justin Bieber was born?"

llm_chain.run(question)

API Reference: