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docs: fix a couple of small indentation errors in the strings (#7951)

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Fixed a few indentations I came across in the docs @baskaryan
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Jithin James 2023-07-20 19:04:01 +05:30 committed by GitHub
parent 73901ef132
commit 493cbc9410
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2 changed files with 24 additions and 29 deletions
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35
docs/extras/modules/model_io/prompts/prompt_templates/custom_prompt_template.ipynb
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@ -36,7 +36,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 2, "execution_count": 1,
"id": "c831e1ce", "id": "c831e1ce",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -59,7 +59,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 2,
"id": "3ad1efdc", "id": "3ad1efdc",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@ -67,6 +67,14 @@
"from langchain.prompts import StringPromptTemplate\n", "from langchain.prompts import StringPromptTemplate\n",
"from pydantic import BaseModel, validator\n", "from pydantic import BaseModel, validator\n",
"\n", "\n",
"PROMPT = \"\"\"\\\n",
"Given the function name and source code, generate an English language explanation of the function.\n",
"Function Name: {function_name}\n",
"Source Code:\n",
"{source_code}\n",
"Explanation:\n",
"\"\"\"\n",
"\n",
"\n", "\n",
"class FunctionExplainerPromptTemplate(StringPromptTemplate, BaseModel):\n", "class FunctionExplainerPromptTemplate(StringPromptTemplate, BaseModel):\n",
" \"\"\"A custom prompt template that takes in the function name as input, and formats the prompt template to provide the source code of the function.\"\"\"\n", " \"\"\"A custom prompt template that takes in the function name as input, and formats the prompt template to provide the source code of the function.\"\"\"\n",
@ -83,13 +91,9 @@
" source_code = get_source_code(kwargs[\"function_name\"])\n", " source_code = get_source_code(kwargs[\"function_name\"])\n",
"\n", "\n",
" # Generate the prompt to be sent to the language model\n", " # Generate the prompt to be sent to the language model\n",
" prompt = f\"\"\"\n", " prompt = PROMPT.format(\n",
" Given the function name and source code, generate an English language explanation of the function.\n", " function_name=kwargs[\"function_name\"].__name__, source_code=source_code\n",
" Function Name: {kwargs[\"function_name\"].__name__}\n", " )\n",
" Source Code:\n",
" {source_code}\n",
" Explanation:\n",
" \"\"\"\n",
" return prompt\n", " return prompt\n",
"\n", "\n",
" def _prompt_type(self):\n", " def _prompt_type(self):\n",
@ -108,7 +112,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 6, "execution_count": 3,
"id": "bd836cda", "id": "bd836cda",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
@ -116,7 +120,6 @@
"name": "stdout", "name": "stdout",
"output_type": "stream", "output_type": "stream",
"text": [ "text": [
"\n",
"Given the function name and source code, generate an English language explanation of the function.\n", "Given the function name and source code, generate an English language explanation of the function.\n",
"Function Name: get_source_code\n", "Function Name: get_source_code\n",
"Source Code:\n", "Source Code:\n",
@ -136,14 +139,6 @@
"prompt = fn_explainer.format(function_name=get_source_code)\n", "prompt = fn_explainer.format(function_name=get_source_code)\n",
"print(prompt)" "print(prompt)"
] ]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7f3161c6",
"metadata": {},
"outputs": [],
"source": []
} }
], ],
"metadata": { "metadata": {
@ -162,7 +157,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.3" "version": "3.10.12"
} }
}, },
"nbformat": 4, "nbformat": 4,

2
docs/snippets/modules/model_io/prompts/prompt_templates/get_started.mdx
View File

@ -4,7 +4,7 @@ Here's the simplest example:
from langchain import PromptTemplate from langchain import PromptTemplate
template = """/ template = """\
You are a naming consultant for new companies. You are a naming consultant for new companies.
What is a good name for a company that makes {product}? What is a good name for a company that makes {product}?
""" """