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{
"cells": [
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [],
"source": [
"from langchain.prompts import load_prompt"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tell me a funny joke about chickens.\n"
]
}
],
"source": [
"prompt = load_prompt(\"prompts/simple_prompt.yaml\")\n",
"print(prompt.format(adjective=\"funny\", content=\"chickens\"))"
]
},
{
"cell_type": "code",
"execution_count": 5,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tell me a funny joke about chickens.\n"
]
}
],
"source": [
"prompt = load_prompt(\"prompts/simple_prompt.json\")\n",
"print(prompt.format(adjective=\"funny\", content=\"chickens\"))"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Tell me a funny joke about chickens.\n"
]
}
],
"source": [
"prompt = load_prompt(\"prompts/simple_prompt_with_template_file.json\")\n",
"print(prompt.format(adjective=\"funny\", content=\"chickens\"))"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Write antonyms for the following words.\n",
"\n",
"Input: happy\n",
"Output: sad\n",
"\n",
"Input: tall\n",
"Output: short\n",
"\n",
"Input: funny\n",
"Output:\n"
]
}
],
"source": [
"prompt = load_prompt(\"prompts/few_shot_prompt.json\")\n",
"print(prompt.format(adjective=\"funny\"))"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Write antonyms for the following words.\n",
"\n",
"Input: happy\n",
"Output: sad\n",
"\n",
"Input: tall\n",
"Output: short\n",
"\n",
"Input: funny\n",
"Output:\n"
]
}
],
"source": [
"prompt = load_prompt(\"prompts/few_shot_prompt_example_prompt.json\")\n",
"print(prompt.format(adjective=\"funny\"))"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "base",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.3"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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