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https://github.com/hwchase17/langchain.git
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fa5d49f2c1
ran ```bash g grep -l "langchain.vectorstores" | xargs -L 1 sed -i '' "s/langchain\.vectorstores/langchain_community.vectorstores/g" g grep -l "langchain.document_loaders" | xargs -L 1 sed -i '' "s/langchain\.document_loaders/langchain_community.document_loaders/g" g grep -l "langchain.chat_loaders" | xargs -L 1 sed -i '' "s/langchain\.chat_loaders/langchain_community.chat_loaders/g" g grep -l "langchain.document_transformers" | xargs -L 1 sed -i '' "s/langchain\.document_transformers/langchain_community.document_transformers/g" g grep -l "langchain\.graphs" | xargs -L 1 sed -i '' "s/langchain\.graphs/langchain_community.graphs/g" g grep -l "langchain\.memory\.chat_message_histories" | xargs -L 1 sed -i '' "s/langchain\.memory\.chat_message_histories/langchain_community.chat_message_histories/g" gco master libs/langchain/tests/unit_tests/*/test_imports.py gco master libs/langchain/tests/unit_tests/**/test_public_api.py ```
105 lines
2.2 KiB
Plaintext
105 lines
2.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "16f2c32e",
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"metadata": {},
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"source": [
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"## Document Loading\n",
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"\n",
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"Load a blog post on agents."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "c9fadce0",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain_community.document_loaders import WebBaseLoader\n",
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"\n",
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"loader = WebBaseLoader(\"https://lilianweng.github.io/posts/2023-06-23-agent/\")\n",
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"text = loader.load()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "4086be03",
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"metadata": {},
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"source": [
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"## Run Template\n",
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"\n",
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"In `server.py`, set -\n",
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"```\n",
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"add_routes(app, chain_ext, path=\"/extraction_openai_functions\")\n",
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"```"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "ed507784",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langserve.client import RemoteRunnable\n",
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"\n",
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"oai_function = RemoteRunnable(\"http://0.0.0.0:8001/extraction_openai_functions\")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "68046695",
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"metadata": {},
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"source": [
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"The function wille extract paper titles and authors from an input."
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]
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"id": "6dace748",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"[{'title': 'Chain of Thought', 'author': 'Wei et al. 2022'},\n",
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" {'title': 'Tree of Thoughts', 'author': 'Yao et al. 2023'},\n",
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" {'title': 'LLM+P', 'author': 'Liu et al. 2023'}]"
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]
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},
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"execution_count": 8,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"oai_function.invoke({\"input\": text[0].page_content[0:4000]})"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "langserve",
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"language": "python",
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"name": "langserve"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.9.16"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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