Langchain Example Updates (#199)

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Dave 2 years ago committed by GitHub
parent 7e5fe35ae4
commit 3411bfd00d
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  1. 1
      .gitignore
  2. 2
      examples/langchain/PY.Dockerfile
  3. 2
      examples/langchain/README.md
  4. 376
      examples/langchain/langchainjs-localai-example/package-lock.json
  5. 2
      examples/langchain/langchainjs-localai-example/package.json
  6. 11
      examples/langchain/langchainpy-localai-example/full_demo.py
  7. 2
      examples/langchain/langchainpy-localai-example/requirements.txt
  8. 2
      examples/langchain/models/gpt-3.5-turbo.yaml

1
.gitignore vendored

@ -2,6 +2,7 @@
go-llama go-llama
go-gpt4all-j go-gpt4all-j
go-gpt2 go-gpt2
go-rwkv
# LocalAI build binary # LocalAI build binary
LocalAI LocalAI

@ -2,4 +2,4 @@ FROM python:3.10-bullseye
COPY ./langchainpy-localai-example /app COPY ./langchainpy-localai-example /app
WORKDIR /app WORKDIR /app
RUN pip install --no-cache-dir -r requirements.txt RUN pip install --no-cache-dir -r requirements.txt
ENTRYPOINT [ "python", "./simple_demo.py" ]; ENTRYPOINT [ "python", "./full_demo.py" ];

@ -27,4 +27,4 @@ docker-compose --profile py up --build
## Copyright ## Copyright
Some of the example code in index.mts is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code. Some of the example code in index.mts and full_demo.py is adapted from the langchainjs project and is Copyright (c) Harrison Chase. Used under the terms of the MIT license, as is the remainder of this code.

@ -13,7 +13,7 @@
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"resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz", "resolved": "https://registry.npmjs.org/delayed-stream/-/delayed-stream-1.0.0.tgz",
"integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ==" "integrity": "sha512-ZySD7Nf91aLB0RxL4KGrKHBXl7Eds1DAmEdcoVawXnLD7SDhpNgtuII2aAkg7a7QS41jxPSZ17p4VdGnMHk3MQ=="
}, },
"dom-serializer": {
"version": "2.0.0",
"resolved": "https://registry.npmjs.org/dom-serializer/-/dom-serializer-2.0.0.tgz",
"integrity": "sha512-wIkAryiqt/nV5EQKqQpo3SToSOV9J0DnbJqwK7Wv/Trc92zIAYZ4FlMu+JPFW1DfGFt81ZTCGgDEabffXeLyJg==",
"optional": true,
"peer": true,
"requires": {
"domelementtype": "^2.3.0",
"domhandler": "^5.0.2",
"entities": "^4.2.0"
}
},
"domelementtype": {
"version": "2.3.0",
"resolved": "https://registry.npmjs.org/domelementtype/-/domelementtype-2.3.0.tgz",
"integrity": "sha512-OLETBj6w0OsagBwdXnPdN0cnMfF9opN69co+7ZrbfPGrdpPVNBUj02spi6B1N7wChLQiPn4CSH/zJvXw56gmHw==",
"optional": true,
"peer": true
},
"domhandler": {
"version": "5.0.3",
"resolved": "https://registry.npmjs.org/domhandler/-/domhandler-5.0.3.tgz",
"integrity": "sha512-cgwlv/1iFQiFnU96XXgROh8xTeetsnJiDsTc7TYCLFd9+/WNkIqPTxiM/8pSd8VIrhXGTf1Ny1q1hquVqDJB5w==",
"optional": true,
"peer": true,
"requires": {
"domelementtype": "^2.3.0"
}
},
"domutils": {
"version": "3.1.0",
"resolved": "https://registry.npmjs.org/domutils/-/domutils-3.1.0.tgz",
"integrity": "sha512-H78uMmQtI2AhgDJjWeQmHwJJ2bLPD3GMmO7Zja/ZZh84wkm+4ut+IUnUdRa8uCGX88DiVx1j6FRe1XfxEgjEZA==",
"optional": true,
"peer": true,
"requires": {
"dom-serializer": "^2.0.0",
"domelementtype": "^2.3.0",
"domhandler": "^5.0.3"
}
},
"dotenv": { "dotenv": {
"version": "16.0.3", "version": "16.0.3",
"resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.0.3.tgz", "resolved": "https://registry.npmjs.org/dotenv/-/dotenv-16.0.3.tgz",
@ -1790,13 +1458,6 @@
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz", "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==" "integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
}, },
"entities": {
"version": "4.5.0",
"resolved": "https://registry.npmjs.org/entities/-/entities-4.5.0.tgz",
"integrity": "sha512-V0hjH4dGPh9Ao5p0MoRY6BVqtwCjhz6vI5LT8AJ55H+4g9/4vbHx1I54fS0XuclLhDHArPQCiMjDxjaL8fPxhw==",
"optional": true,
"peer": true
},
"escalade": { "escalade": {
"version": "3.1.1", "version": "3.1.1",
"resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz", "resolved": "https://registry.npmjs.org/escalade/-/escalade-3.1.1.tgz",
@ -1864,19 +1525,6 @@
"resolved": "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz", "resolved": "https://registry.npmjs.org/highlight.js/-/highlight.js-10.7.3.tgz",
"integrity": "sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A==" "integrity": "sha512-tzcUFauisWKNHaRkN4Wjl/ZA07gENAjFl3J/c480dprkGTg5EQstgaNFqBfUqCq54kZRIEcreTsAgF/m2quD7A=="
}, },
"htmlparser2": {
"version": "8.0.2",
"resolved": "https://registry.npmjs.org/htmlparser2/-/htmlparser2-8.0.2.tgz",
"integrity": "sha512-GYdjWKDkbRLkZ5geuHs5NY1puJ+PXwP7+fHPRz06Eirsb9ugf6d8kkXav6ADhcODhFFPMIXyxkxSuMf3D6NCFA==",
"optional": true,
"peer": true,
"requires": {
"domelementtype": "^2.3.0",
"domhandler": "^5.0.3",
"domutils": "^3.0.1",
"entities": "^4.4.0"
}
},
"ieee754": { "ieee754": {
"version": "1.2.1", "version": "1.2.1",
"resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz", "resolved": "https://registry.npmjs.org/ieee754/-/ieee754-1.2.1.tgz",
@ -2024,16 +1672,6 @@
"whatwg-url": "^5.0.0" "whatwg-url": "^5.0.0"
} }
}, },
"nth-check": {
"version": "2.1.1",
"resolved": "https://registry.npmjs.org/nth-check/-/nth-check-2.1.1.tgz",
"integrity": "sha512-lqjrjmaOoAnWfMmBPL+XNnynZh2+swxiX3WUE0s4yEHI6m+AwrK2UZOimIRl3X/4QctVqS8AiZjFqyOGrMXb/w==",
"optional": true,
"peer": true,
"requires": {
"boolbase": "^1.0.0"
}
},
"num-sort": { "num-sort": {
"version": "2.1.0", "version": "2.1.0",
"resolved": "https://registry.npmjs.org/num-sort/-/num-sort-2.1.0.tgz", "resolved": "https://registry.npmjs.org/num-sort/-/num-sort-2.1.0.tgz",

@ -11,7 +11,7 @@
"author": "dave@gray101.com", "author": "dave@gray101.com",
"license": "MIT", "license": "MIT",
"devDependencies": { "devDependencies": {
"@types/node": "^18.16.3", "@types/node": "^18.16.4",
"typescript": "^5.0.4" "typescript": "^5.0.4"
}, },
"dependencies": { "dependencies": {

@ -1,4 +1,6 @@
import os import os
import logging
from langchain.chat_models import ChatOpenAI from langchain.chat_models import ChatOpenAI
from langchain import PromptTemplate, LLMChain from langchain import PromptTemplate, LLMChain
from langchain.prompts.chat import ( from langchain.prompts.chat import (
@ -13,6 +15,9 @@ from langchain.schema import (
SystemMessage SystemMessage
) )
# This logging incantation makes it easy to see that you're actually reaching your LocalAI instance rather than OpenAI.
logging.basicConfig(level=logging.DEBUG)
print('Langchain + LocalAI PYTHON Tests') print('Langchain + LocalAI PYTHON Tests')
base_path = os.environ.get('OPENAI_API_BASE', 'http://api:8080/v1') base_path = os.environ.get('OPENAI_API_BASE', 'http://api:8080/v1')
@ -24,7 +29,7 @@ chat = ChatOpenAI(temperature=0, openai_api_base=base_path, openai_api_key=key,
print("Created ChatOpenAI for ", chat.model_name) print("Created ChatOpenAI for ", chat.model_name)
template = "You are a helpful assistant that translates {input_language} to {output_language}." template = "You are a helpful assistant that translates {input_language} to {output_language}. The next message will be a sentence in {input_language}. Respond ONLY with the translation in {output_language}. Do not respond in {input_language}!"
system_message_prompt = SystemMessagePromptTemplate.from_template(template) system_message_prompt = SystemMessagePromptTemplate.from_template(template)
human_template = "{text}" human_template = "{text}"
human_message_prompt = HumanMessagePromptTemplate.from_template(human_template) human_message_prompt = HumanMessagePromptTemplate.from_template(human_template)
@ -34,6 +39,8 @@ chat_prompt = ChatPromptTemplate.from_messages([system_message_prompt, human_mes
print("ABOUT to execute") print("ABOUT to execute")
# get a chat completion from the formatted messages # get a chat completion from the formatted messages
chat(chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages()) response = chat(chat_prompt.format_prompt(input_language="English", output_language="French", text="I love programming.").to_messages())
print(response)
print("."); print(".");

@ -10,7 +10,7 @@ debugpy==1.6.7
frozenlist==1.3.3 frozenlist==1.3.3
greenlet==2.0.2 greenlet==2.0.2
idna==3.4 idna==3.4
langchain==0.0.157 langchain==0.0.159
marshmallow==3.19.0 marshmallow==3.19.0
marshmallow-enum==1.5.1 marshmallow-enum==1.5.1
multidict==6.0.4 multidict==6.0.4

@ -15,4 +15,4 @@ roles:
backend: "gptj" backend: "gptj"
template: template:
completion: completion completion: completion
chat: completion # gpt4all chat: gpt4all
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