From 906aebcf8d5cdf1de29b93fca85a218f0ff31657 Mon Sep 17 00:00:00 2001
From: James Briggs <35938317+jamescalam@users.noreply.github.com>
Date: Mon, 8 Jan 2024 12:40:38 +0100
Subject: [PATCH] remove warning
---
docs/00-introduction.ipynb | 7 --
docs/01-save-load-from-file.ipynb | 7 --
docs/03-basic-langchain-agent.ipynb | 9 --
docs/04-chat-history.ipynb | 139 ++++++++++++++++++++++++++++
4 files changed, 139 insertions(+), 23 deletions(-)
create mode 100644 docs/04-chat-history.ipynb
diff --git a/docs/00-introduction.ipynb b/docs/00-introduction.ipynb
index 4d672f37..06650703 100644
--- a/docs/00-introduction.ipynb
+++ b/docs/00-introduction.ipynb
@@ -44,13 +44,6 @@
"!pip install -qU semantic-router==0.0.15"
]
},
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "_**âš ï¸ If using Google Colab, install the prerequisites and then restart the notebook before continuing**_"
- ]
- },
{
"cell_type": "markdown",
"metadata": {},
diff --git a/docs/01-save-load-from-file.ipynb b/docs/01-save-load-from-file.ipynb
index 43937d2b..6c5945cb 100644
--- a/docs/01-save-load-from-file.ipynb
+++ b/docs/01-save-load-from-file.ipynb
@@ -39,13 +39,6 @@
"!pip install -qU semantic-router==0.0.15"
]
},
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "_**âš ï¸ If using Google Colab, install the prerequisites and then restart the notebook before continuing**_"
- ]
- },
{
"cell_type": "markdown",
"metadata": {},
diff --git a/docs/03-basic-langchain-agent.ipynb b/docs/03-basic-langchain-agent.ipynb
index c8c48b3d..dc728495 100644
--- a/docs/03-basic-langchain-agent.ipynb
+++ b/docs/03-basic-langchain-agent.ipynb
@@ -83,15 +83,6 @@
" openai==1.6.1"
]
},
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "cHtVnoJPA04x"
- },
- "source": [
- "_**âš ï¸ If using Google Colab, install the prerequisites and then restart the notebook before continuing**_"
- ]
- },
{
"cell_type": "markdown",
"metadata": {
diff --git a/docs/04-chat-history.ipynb b/docs/04-chat-history.ipynb
new file mode 100644
index 00000000..4ac533b1
--- /dev/null
+++ b/docs/04-chat-history.ipynb
@@ -0,0 +1,139 @@
+{
+ "cells": [
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "[](https://colab.research.google.com/github/aurelio-labs/semantic-router/blob/main/docs/00-introduction.ipynb) [](https://nbviewer.org/github/aurelio-labs/semantic-router/blob/main/docs/00-introduction.ipynb)"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "# Considering Chat History"
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": [
+ "Applying semantic-router to the most recent interaction in a conversation can work for many cases but it misses scenarios where information provided in the latest interaction."
+ ]
+ },
+ {
+ "cell_type": "markdown",
+ "metadata": {},
+ "source": []
+ },
+ {
+ "cell_type": "code",
+ "execution_count": 1,
+ "metadata": {},
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "/Users/jamesbriggs/opt/anaconda3/envs/decision-layer/lib/python3.11/site-packages/tqdm/auto.py:21: TqdmWarning: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html\n",
+ " from .autonotebook import tqdm as notebook_tqdm\n",
+ "100%|██████████| 83.2M/83.2M [00:09<00:00, 8.45MiB/s]\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": [
+ "{'split 1': ['User: Hello! Can you tell me the latest news headlines?',\n",
+ " 'Bot: Hi! Sure, here are the top news headlines for today...'],\n",
+ " 'split 2': [\"User: That's quite interesting. I'm also looking for some new music to listen to.\",\n",
+ " 'Bot: What genre do you prefer?',\n",
+ " 'User: I like pop music.',\n",
+ " 'Bot: You might enjoy the latest album by Dua Lipa.',\n",
+ " \"User: I'll give it a listen. Also, I'm planning a trip and need some travel tips.\",\n",
+ " 'Bot: Sure, where are you planning to go?'],\n",
+ " 'split 3': [\"User: I'm thinking of visiting Italy.\",\n",
+ " 'Bot: Italy is a beautiful country. Make sure to visit the Colosseum in Rome and the canals in Venice.'],\n",
+ " 'split 4': ['User: Those sound like great suggestions. I also need some help with my diet.',\n",
+ " 'Bot: What kind of diet are you following?',\n",
+ " \"User: I'm trying to eat more protein.\",\n",
+ " 'Bot: Include lean meats, eggs, and legumes in your diet for a protein boost.',\n",
+ " \"User: Thanks for the tips! I'll talk to you later.\",\n",
+ " \"Bot: You're welcome! Don't hesitate to reach out if you need more help.\",\n",
+ " 'User: I appreciate it. Goodbye!',\n",
+ " 'Bot: Goodbye! Take care!']}"
+ ]
+ },
+ "execution_count": 1,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "from semantic_router.schema import Conversation, Message\n",
+ "from semantic_router.encoders import FastEmbedEncoder\n",
+ "\n",
+ "\n",
+ "messages = [\n",
+ " \"User: Hello! Can you tell me the latest news headlines?\",\n",
+ " \"Bot: Hi! Sure, here are the top news headlines for today...\",\n",
+ " \"User: That's quite interesting. I'm also looking for some new music to listen to.\",\n",
+ " \"Bot: What genre do you prefer?\",\n",
+ " \"User: I like pop music.\",\n",
+ " \"Bot: You might enjoy the latest album by Dua Lipa.\",\n",
+ " \"User: I'll give it a listen. Also, I'm planning a trip and need some travel tips.\",\n",
+ " \"Bot: Sure, where are you planning to go?\",\n",
+ " \"User: I'm thinking of visiting Italy.\",\n",
+ " \"Bot: Italy is a beautiful country. Make sure to visit the Colosseum in Rome and the canals in Venice.\",\n",
+ " \"User: Those sound like great suggestions. I also need some help with my diet.\",\n",
+ " \"Bot: What kind of diet are you following?\",\n",
+ " \"User: I'm trying to eat more protein.\",\n",
+ " \"Bot: Include lean meats, eggs, and legumes in your diet for a protein boost.\",\n",
+ " \"User: Thanks for the tips! I'll talk to you later.\",\n",
+ " \"Bot: You're welcome! Don't hesitate to reach out if you need more help.\",\n",
+ " \"User: I appreciate it. Goodbye!\",\n",
+ " \"Bot: Goodbye! Take care!\",\n",
+ "]\n",
+ "\n",
+ "encoder = FastEmbedEncoder(model_name=\"sentence-transformers/all-MiniLM-L6-v2\")\n",
+ "\n",
+ "convo = Conversation(\n",
+ " messages=[\n",
+ " Message(role=m.split(\": \")[0], content=m.split(\": \")[1]) for m in messages\n",
+ " ]\n",
+ ")\n",
+ "\n",
+ "convo.split_by_topic(\n",
+ " encoder=encoder, threshold=0.72, split_method=\"cumulative_similarity_drop\"\n",
+ ")"
+ ]
+ },
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {},
+ "outputs": [],
+ "source": []
+ }
+ ],
+ "metadata": {
+ "kernelspec": {
+ "display_name": "ml",
+ "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": "3.11.5"
+ }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
--
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