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126 lines
2.9 KiB
Plaintext
126 lines
2.9 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"id": "04a0170a",
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"metadata": {},
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"outputs": [],
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"source": [
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"from manifest import Manifest"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 2,
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"id": "de250a6a",
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"metadata": {},
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"outputs": [],
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"source": [
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"manifest = Manifest(\n",
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" client_name = \"openai\",\n",
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")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"id": "0148f7bb",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.llms.manifest import ManifestWrapper"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"id": "67b719d6",
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"metadata": {},
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"outputs": [],
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"source": [
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"llm = ManifestWrapper(client=manifest, llm_kwargs={\"temperature\": 0, \"max_tokens\": 256})"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"id": "5af505a8",
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"metadata": {},
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"outputs": [],
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"source": [
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"# Map reduce example\n",
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"from langchain import Prompt\n",
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"from langchain.text_splitter import CharacterTextSplitter\n",
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"from langchain.chains.mapreduce import MapReduceChain\n",
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"\n",
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"\n",
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"_prompt = \"\"\"Write a concise summary of the following:\n",
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"\n",
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"\n",
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"{text}\n",
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"\n",
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"\n",
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"CONCISE SUMMARY:\"\"\"\n",
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"prompt = Prompt(template=_prompt, input_variables=[\"text\"])\n",
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"\n",
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"text_splitter = CharacterTextSplitter()\n",
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"\n",
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"mp_chain = MapReduceChain.from_params(llm, prompt, text_splitter)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"id": "485b3ec3",
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"metadata": {},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"\"The President discusses the recent aggression by Russia, and the response by the United States and its allies. He announces new sanctions against Russia, and says that the free world is united in holding Putin accountable. The President also discusses the American Rescue Plan, the Bipartisan Infrastructure Law, and the Bipartisan Innovation Act. Finally, the President addresses the need for women's rights and equality for LGBTQ+ Americans.\""
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]
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},
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"execution_count": 6,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"with open('state_of_the_union.txt') as f:\n",
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" state_of_the_union = f.read()\n",
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"mp_chain.run(state_of_the_union)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "32da6e41",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.8.6"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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