langchain/docs/extras/integrations/llms/textgen.ipynb

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

In [ ]:

model_url = "http://localhost:5000"

In [ ]:

import langchain
from langchain.prompts import PromptTemplate
from langchain.chains import 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)

Streaming Version

You should install websocket-client to use this feature. pip install websocket-client

In [ ]:

model_url = "ws://localhost:5005"

In [ ]:

import langchain
from langchain.prompts import PromptTemplate
from langchain.chains import LLMChain
from langchain.llms import TextGen
from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler

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, streaming=True, callbacks=[StreamingStdOutCallbackHandler()])
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)

In [ ]:

llm = TextGen(
    model_url = model_url,
    streaming=True
)
for chunk in llm.stream("Ask 'Hi, how are you?' like a pirate:'",
        stop=["'","\n"]):
    print(chunk, end='', flush=True)