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docs: use markdown cell instead of code block (#19740)

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I found that the code of async and async batch was divided into two
blocks:

<img width="823" alt="Screenshot 2024-03-29 at 7 45 59 AM"
src="https://github.com/langchain-ai/langchain/assets/10000925/0fa59d29-a692-4309-afb8-2260f03242ec">


so I changed it to unified.
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Bob Lin 2024-03-29 20:27:48 +08:00 committed by GitHub
parent 4ce36af335
commit 53a74ad12b
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1 changed files with 32 additions and 19 deletions
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51
docs/docs/expression_language/why.ipynb
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@ -300,7 +300,10 @@
"async def ainvoke_chain(topic: str) -> str:\n",
" prompt_value = prompt_template.format(topic=topic)\n",
" messages = [{\"role\": \"user\", \"content\": prompt_value}]\n",
" return await acall_chat_model(messages)"
" return await acall_chat_model(messages)\n",
"\n",
"\n",
"await ainvoke_chain(\"ice cream\")"
]
},
{
@ -308,19 +311,22 @@
"id": "2f209290-498c-4c17-839e-ee9002919846",
"metadata": {},
"source": [
"```python\n",
"await ainvoke_chain(\"ice cream\")\n",
"```\n",
"\n",
"</Column>\n",
"\n",
"<Column>\n",
"\n",
" \n",
"#### LCEL\n",
"\n",
"```python\n",
"await chain.ainvoke(\"ice cream\")\n",
"```"
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4d009781-7307-48a4-8439-f9d3dd015560",
"metadata": {},
"outputs": [],
"source": [
"await chain.ainvoke(\"ice cream\")"
]
},
{
@ -347,12 +353,16 @@
"metadata": {},
"outputs": [],
"source": [
"import asyncio\n",
"import openai\n",
"\n",
"\n",
"async def abatch_chain(topics: list) -> list:\n",
" coros = map(ainvoke_chain, topics)\n",
" return await asyncio.gather(*coros)\n"
" return await asyncio.gather(*coros)\n",
"\n",
"\n",
"await abatch_chain([\"ice cream\", \"spaghetti\", \"dumplings\"])"
]
},
{
@ -360,19 +370,22 @@
"id": "90691048-17ae-479d-83c2-859e33ddf3eb",
"metadata": {},
"source": [
"```python\n",
"await abatch_chain([\"ice cream\", \"spaghetti\", \"dumplings\"])\n",
"```\n",
"\n",
"</Column>\n",
"\n",
"<Column>\n",
"\n",
"#### LCEL\n",
"\n",
"```python\n",
"await chain.abatch([\"ice cream\", \"spaghetti\", \"dumplings\"])\n",
"```"
"\n"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "947dad23-3443-40eb-a03b-7840c261e261",
"metadata": {},
"outputs": [],
"source": [
"await chain.abatch([\"ice cream\", \"spaghetti\", \"dumplings\"])"
]
},
{