mirror of https://github.com/HazyResearch/manifest
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106 lines
2.2 KiB
Plaintext
106 lines
2.2 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"%load_ext autoreload\n",
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"%autoreload 2"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"OPENAI_KEY = \"sk-XXX\""
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Use ChatOpenAI\n",
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"\n",
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"Set you `OPENAI_API_KEY` environment variable."
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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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"metadata": {},
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"outputs": [],
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"source": [
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"from manifest import Manifest\n",
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"from manifest.connections.client_pool import ClientConnection\n",
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"\n",
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"openai_chat = ClientConnection(\n",
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" client_name=\"openaichat\",\n",
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" client_connection=OPENAI_KEY,\n",
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" engine=\"gpt-3.5-turbo\"\n",
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")\n",
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"\n",
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"manifest = Manifest(client_pool=[openai_chat])"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"manifest_iterator = manifest.run(\"Tell me a story about a fat cat.\\n\\nOnce upon a time\", max_tokens=200, stream=True)"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"\n",
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"cur_line_length = 0\n",
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"# Iterate over stream\n",
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"for res in manifest_iterator:\n",
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" sys.stdout.write(res)\n",
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" cur_line_length += len(res)\n",
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" if cur_line_length > 80:\n",
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" sys.stdout.write(\"\\n\")\n",
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" cur_line_length = 0"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "manifest",
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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": "3.10.4"
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},
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"orig_nbformat": 4,
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"vscode": {
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"interpreter": {
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"hash": "fddffe4ac3b9f00470127629076101c1b5f38ecb1e7358b567d19305425e9491"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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