forked from Archives/langchain
705431aecc
Co-authored-by: Ankush Gola <ankush.gola@gmail.com>
120 lines
3.0 KiB
Plaintext
120 lines
3.0 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "fe4e96b5",
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"metadata": {},
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"source": [
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"# How to stream responses\n",
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"\n",
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"This notebook goes over how to use streaming with a chat model."
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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": "e0244f2a",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chat_models import ChatOpenAI\n",
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"from langchain.schema import (\n",
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" HumanMessage,\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": 5,
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"id": "ad342bfa",
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"\n",
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"\n",
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"Verse 1:\n",
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"Bubbles rising to the top\n",
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"A refreshing drink that never stops\n",
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"Clear and crisp, it's pure delight\n",
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"A taste that's sure to excite\n",
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"\n",
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"Chorus:\n",
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"Sparkling water, oh so fine\n",
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"A drink that's always on my mind\n",
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"With every sip, I feel alive\n",
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"Sparkling water, you're my vibe\n",
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"\n",
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"Verse 2:\n",
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"No sugar, no calories, just pure bliss\n",
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"A drink that's hard to resist\n",
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"It's the perfect way to quench my thirst\n",
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"A drink that always comes first\n",
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"\n",
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"Chorus:\n",
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"Sparkling water, oh so fine\n",
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"A drink that's always on my mind\n",
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"With every sip, I feel alive\n",
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"Sparkling water, you're my vibe\n",
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"\n",
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"Bridge:\n",
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"From the mountains to the sea\n",
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"Sparkling water, you're the key\n",
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"To a healthy life, a happy soul\n",
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"A drink that makes me feel whole\n",
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"\n",
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"Chorus:\n",
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"Sparkling water, oh so fine\n",
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"A drink that's always on my mind\n",
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"With every sip, I feel alive\n",
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"Sparkling water, you're my vibe\n",
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"\n",
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"Outro:\n",
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"Sparkling water, you're the one\n",
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"A drink that's always so much fun\n",
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"I'll never let you go, my friend\n",
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"Sparkling"
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]
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}
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],
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"source": [
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"from langchain.callbacks.base import CallbackManager\n",
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"from langchain.callbacks.streaming_stdout import StreamingStdOutCallbackHandler\n",
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"chat = ChatOpenAI(streaming=True, callback_manager=CallbackManager([StreamingStdOutCallbackHandler()]), verbose=True, temperature=0)\n",
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"resp = chat([HumanMessage(content=\"Write me a song about sparkling water.\")])"
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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": "67c44deb",
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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": "3.9.1"
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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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