chapter5 changes

Author: benman1

chapter5/memory.ipynb

@@ -360,52 +360,6 @@
     }
    }
   },
-  {
-   "cell_type": "markdown",
-   "source": [
-    "## Persistance"
-   ],
-   "metadata": {
-    "collapsed": false
-   }
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 11,
-   "outputs": [
-    {
-     "ename": "NameError",
-     "evalue": "name 'uuid4' is not defined",
-     "output_type": "error",
-     "traceback": [
-      "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m",
-      "\u001B[0;31mNameError\u001B[0m                                 Traceback (most recent call last)",
-      "Cell \u001B[0;32mIn[11], line 4\u001B[0m\n\u001B[1;32m      2\u001B[0m ZEP_API_URL \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mhttp://localhost:8000\u001B[39m\u001B[38;5;124m\"\u001B[39m \n\u001B[1;32m      3\u001B[0m ZEP_API_KEY \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m<your JWT token>\u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m----> 4\u001B[0m session_id \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mstr\u001B[39m(\u001B[43muuid4\u001B[49m()) \n\u001B[1;32m      6\u001B[0m memory \u001B[38;5;241m=\u001B[39m ZepMemory( \n\u001B[1;32m      7\u001B[0m     session_id\u001B[38;5;241m=\u001B[39msession_id, \n\u001B[1;32m      8\u001B[0m     url\u001B[38;5;241m=\u001B[39mZEP_API_URL, \n\u001B[1;32m      9\u001B[0m     api_key\u001B[38;5;241m=\u001B[39mZEP_API_KEY, \n\u001B[1;32m     10\u001B[0m     memory_key\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mchat_history\u001B[39m\u001B[38;5;124m\"\u001B[39m, \n\u001B[1;32m     11\u001B[0m )\n",
-      "\u001B[0;31mNameError\u001B[0m: name 'uuid4' is not defined"
-     ]
-    }
-   ],
-   "source": [
-    "from langchain.memory import ZepMemory\n",
-    "ZEP_API_URL = \"http://localhost:8000\"\n",
-    "ZEP_API_KEY = \"<your JWT token>\"\n",
-    "session_id = str(uuid4())\n",
-    "\n",
-    "memory = ZepMemory(\n",
-    "    session_id=session_id,\n",
-    "    url=ZEP_API_URL,\n",
-    "    api_key=ZEP_API_KEY,\n",
-    "    memory_key=\"chat_history\",\n",
-    ")\n"
-   ],
-   "metadata": {
-    "collapsed": false,
-    "ExecuteTime": {
-     "end_time": "2024-04-10T17:01:04.894970Z",
-     "start_time": "2024-04-10T17:01:04.861807Z"
-    }
-   }
-  },
   {
    "cell_type": "code",
    "execution_count": null,

chapter5/moderation.ipynb

@@ -111,7 +111,7 @@
   {
    "cell_type": "markdown",
    "source": [
-    "This is currently broken after an update in the openai python library, pending a fix https://github.com/langchain-ai/langchain/pull/18537"
+    "This is broken in the versions used in the book, but has been fixed in recent openai and langchain versions."
    ],
    "metadata": {
     "collapsed": false

chapter5/retrievers.ipynb

@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 1,
    "outputs": [],
    "source": [
     "# setting the environment variables\n",
@@ -17,8 +17,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-09T11:19:37.562785Z",
-     "start_time": "2024-04-09T11:19:37.516701Z"
+     "end_time": "2024-08-07T17:47:50.699369Z",
+     "start_time": "2024-08-07T17:47:50.692492Z"
     }
    }
   },
@@ -219,10 +219,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 2,
    "outputs": [],
    "source": [
-    "from langchain_community.retrievers.knn import KNNRetriever\n",
+    "from langchain_community.retrievers import KNNRetriever\n",
     "from langchain_openai import OpenAIEmbeddings\n",
     "\n",
     "words = [\"cat\", \"dog\", \"computer\", \"animal\"]\n",
@@ -231,8 +231,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-09T12:51:49.454239Z",
-     "start_time": "2024-04-09T12:51:47.508716Z"
+     "end_time": "2024-08-07T17:48:32.266706Z",
+     "start_time": "2024-08-07T17:48:25.145084Z"
     }
    }
   },
@@ -262,15 +262,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 3,
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Perceived usefulness of medical teachers towards online learning using technology acceptance model.\n",
-      "Impact of COVID -19 on expanded programme on Immunisation in District Dir lower Khyber Pakhtunkhwa.\n",
-      "Assessment of sleep quality in severe COVID-19 hospitalised patients.\n"
+      "Healthcare workers' experiences protecting themselves and their families during the COVID-19 pandemic in 2020-2021.\n",
+      "Low-Dose Direct Oral Anticoagulation vs Dual Antiplatelet Therapy After Left Atrial Appendage Occlusion: The ADALA Randomized Clinical Trial.\n",
+      "Improving Transparency of Decision Models Through the Application of Decision Analytic Models with Omitted Objects Displayed (DAMWOOD).\n"
      ]
     }
    ],
@@ -285,10 +285,19 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "end_time": "2024-04-09T12:53:42.085504Z",
-     "start_time": "2024-04-09T12:53:38.903506Z"
+     "end_time": "2024-08-07T17:50:42.070767Z",
+     "start_time": "2024-08-07T17:50:39.123072Z"
     }
    }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "outputs": [],
+   "source": [],
+   "metadata": {
+    "collapsed": false
+   }
   }
  ],
  "metadata": {

summarize/__init__.py chapter5/summarize/__init__.py

@@ -16,7 +16,7 @@
 from langchain.prompts import PromptTemplate
 from langchain.schema import Document
 
-from summarize import prompts
+from chapter5.summarize import prompts
 
 set_environment()