mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
135 lines
3.1 KiB
Plaintext
135 lines
3.1 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "90a1faf2",
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"metadata": {},
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"source": [
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"# Llama API\n",
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"\n",
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"This notebook shows how to use LangChain with [LlamaAPI](https://llama-api.com/) - a hosted version of Llama2 that adds in support for function calling."
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]
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},
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{
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"cell_type": "markdown",
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"id": "f5b652cf",
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"metadata": {},
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"source": [
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"!pip install -U llamaapi"
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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": "bfd385fd",
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"metadata": {},
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"outputs": [],
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"source": [
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"from llamaapi import LlamaAPI\n",
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"\n",
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"# Replace 'Your_API_Token' with your actual API token\n",
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"llama = LlamaAPI('Your_API_Token')"
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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": "632eb3e5",
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"metadata": {},
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"outputs": [
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"/Users/harrisonchase/.pyenv/versions/3.9.1/envs/langchain/lib/python3.9/site-packages/deeplake/util/check_latest_version.py:32: UserWarning: A newer version of deeplake (3.6.12) is available. It's recommended that you update to the latest version using `pip install -U deeplake`.\n",
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" warnings.warn(\n"
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]
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}
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],
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"source": [
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"from langchain_experimental.llms import ChatLlamaAPI"
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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": "6f850e82",
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"metadata": {},
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"outputs": [],
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"source": [
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"model = ChatLlamaAPI(client=llama)"
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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": "975c2bf4",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.chains import create_tagging_chain\n",
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"\n",
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"schema = {\n",
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" \"properties\": {\n",
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" \"sentiment\": {\"type\": \"string\", 'description': 'the sentiment encountered in the passage'},\n",
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" \"aggressiveness\": {\"type\": \"integer\", 'description': 'a 0-10 score of how aggressive the passage is'},\n",
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" \"language\": {\"type\": \"string\", 'description': 'the language of the passage'},\n",
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" }\n",
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"}\n",
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"\n",
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"chain = create_tagging_chain(schema, 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": 7,
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"id": "ef9638c3",
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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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"{'sentiment': 'aggressive', 'aggressiveness': 8}"
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]
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},
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"execution_count": 7,
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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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"chain.run(\"give me your money\")"
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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": "238b4f62",
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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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