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Runtime error
File size: 2,751 Bytes
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{
"cells": [
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [],
"source": [
"from langchain.llms import OpenAI\n",
"\n",
"llm = OpenAI(model_name=\"text-davinci-002\")\n",
"no_cache_llm = OpenAI(model_name=\"text-davinci-002\", cache=False)"
]
},
{
"cell_type": "code",
"execution_count": 11,
"metadata": {},
"outputs": [],
"source": [
"from langchain.text_splitter import CharacterTextSplitter\n",
"from langchain.chains.mapreduce import MapReduceChain\n",
"\n",
"text_splitter = CharacterTextSplitter()"
]
},
{
"cell_type": "code",
"execution_count": 12,
"metadata": {},
"outputs": [],
"source": [
"with open('./txt/poem.txt') as f:\n",
" state_of_the_union = f.read()\n",
"texts = text_splitter.split_text(state_of_the_union)"
]
},
{
"cell_type": "code",
"execution_count": 13,
"metadata": {},
"outputs": [],
"source": [
"from langchain.docstore.document import Document\n",
"docs = [Document(page_content=t) for t in texts[:3]]\n",
"from langchain.chains.summarize import load_summarize_chain"
]
},
{
"cell_type": "code",
"execution_count": 14,
"metadata": {},
"outputs": [],
"source": [
"chain = load_summarize_chain(llm, chain_type=\"map_reduce\", reduce_llm=no_cache_llm)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"Retrying langchain.llms.openai.completion_with_retry.<locals>._completion_with_retry in 4.0 seconds as it raised APIConnectionError: Error communicating with OpenAI.\n"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"CPU times: user 367 ms, sys: 39.4 ms, total: 406 ms\n",
"Wall time: 34.3 s\n"
]
},
{
"data": {
"text/plain": [
"'\\n\\nA young woman in Suzhou is pining for her lover who has left her. She spends her days drinking and looking at the moon, hoping he will return to her.'"
]
},
"execution_count": 15,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"%%time\n",
"chain.run(docs)"
]
}
],
"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": "3.10.10"
},
"orig_nbformat": 4
},
"nbformat": 4,
"nbformat_minor": 2
}
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