docs: Fix typo in openai llm integration notebook (#25492)

Fix typo in openai LLM integration notebook.
This commit is contained in:
Eugene Yurtsev
2024-08-28 22:22:57 -04:00
committed by GitHub
parent 31f55781b3
commit 83327ac43a

View File

@@ -42,18 +42,10 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 1,
"id": "efcdb2b6", "id": "efcdb2b6",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [],
{
"name": "stdout",
"output_type": "stream",
"text": [
"Enter your OpenAI API key: ········\n"
]
}
],
"source": [ "source": [
"import getpass\n", "import getpass\n",
"import os\n", "import os\n",
@@ -72,7 +64,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": null, "execution_count": 2,
"id": "52fa46e8", "id": "52fa46e8",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -122,7 +114,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 1, "execution_count": 2,
"id": "6fb585dd", "id": "6fb585dd",
"metadata": { "metadata": {
"tags": [] "tags": []
@@ -144,17 +136,17 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 5, "execution_count": 3,
"id": "85b49da0", "id": "85b49da0",
"metadata": {}, "metadata": {},
"outputs": [ "outputs": [
{ {
"data": { "data": {
"text/plain": [ "text/plain": [
"\"\\n\\nI'm an AI language model created by OpenAI, so I don't have feelings or emotions. But thank you for asking! How can I assist you today?\"" "'\\n\\nI am an AI and do not have emotions like humans do, so I am always functioning at my optimal level. Thank you for asking! How can I assist you today?'"
] ]
}, },
"execution_count": 5, "execution_count": 3,
"metadata": {}, "metadata": {},
"output_type": "execute_result" "output_type": "execute_result"
} }
@@ -173,16 +165,27 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 3, "execution_count": 4,
"id": "a641dbd9", "id": "a641dbd9",
"metadata": { "metadata": {
"tags": [] "tags": []
}, },
"outputs": [], "outputs": [
{
"data": {
"text/plain": [
"'\\nIch liebe Programmieren.'"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [ "source": [
"from langchain_core.prompts import PromptTemplate\n", "from langchain_core.prompts import PromptTemplate\n",
"\n", "\n",
"prompt = PromptTemplate(\"How to say {input} in {output_language}:\\n\")\n", "prompt = PromptTemplate.from_template(\"How to say {input} in {output_language}:\\n\")\n",
"\n", "\n",
"chain = prompt | llm\n", "chain = prompt | llm\n",
"chain.invoke(\n", "chain.invoke(\n",
@@ -205,7 +208,7 @@
}, },
{ {
"cell_type": "code", "cell_type": "code",
"execution_count": 8, "execution_count": null,
"id": "55142cec", "id": "55142cec",
"metadata": {}, "metadata": {},
"outputs": [], "outputs": [],
@@ -221,8 +224,8 @@
] ]
}, },
{ {
"cell_type": "markdown", "cell_type": "raw",
"id": "73e207dd", "id": "2fd99e97-013f-4c28-bb47-426faa42a2cf",
"metadata": {}, "metadata": {},
"source": [ "source": [
"## API reference\n", "## API reference\n",
@@ -247,7 +250,7 @@
"name": "python", "name": "python",
"nbconvert_exporter": "python", "nbconvert_exporter": "python",
"pygments_lexer": "ipython3", "pygments_lexer": "ipython3",
"version": "3.11.9" "version": "3.11.4"
}, },
"vscode": { "vscode": {
"interpreter": { "interpreter": {