Prueba LangChain

CARSE_03_LangChain.ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#! pip install langchain"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.chains import ConversationChain\n",
+    "from dotenv import load_dotenv\n",
+    "from langchain import OpenAI\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "load_dotenv()\n",
+    "API_KEY = os.getenv('OPENAI_KEY')\n",
+    "client = OpenAI()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Conversación con Conversation Buffer Window Memory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from langchain.chains.conversation.memory import ConversationBufferWindowMemory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "carse = OpenAI(model_name = \"ft:gpt-3.5-turbo-1106:personal:carse:8U71tg31\",\n",
+    "               temperature = 0,\n",
+    "               model_kwargs={\"stop\": \"\\nHuman:\"})"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "window_memory = ConversationBufferWindowMemory(k=5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "conversation = ConversationChain(\n",
+    "    llm = carse,\n",
+    "    verbose = True,\n",
+    "    memory = window_memory\n",
+    ")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "\n",
+      "\u001b[1m> Entering new ConversationChain chain...\u001b[0m\n",
+      "Prompt after formatting:\n",
+      "\u001b[32;1m\u001b[1;3mThe following is a friendly conversation between a human and an AI. The AI is talkative and provides lots of specific details from its context. If the AI does not know the answer to a question, it truthfully says it does not know.\n",
+      "\n",
+      "Current conversation:\n",
+      "Human: Hola amor, cómo dormiste hoy?\n",
+      "AI:  Hola! Dormí muy bien, gracias. Y tú?\n",
+      "Human: Bien bien, la verdad no me quejo nada\n",
+      "AI:  Me alegra escuchar eso. Cómo estuvo tu día ayer?\n",
+      "Human: hace mucho calooor\n",
+      "AI:\u001b[0m\n",
+      "\n",
+      "\u001b[1m> Finished chain.\u001b[0m\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "'  Sí, el clima ha estado muy caliente últimamente. Dónde estabas?'"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "respuesta = input(\"Contesta aquí:\")\n",
+    "conversation.predict(input=respuesta)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Human: Hola amor, cómo dormiste hoy?\n",
+      "AI:  Hola! Dormí muy bien, gracias. Y tú?\n",
+      "Human: Bien bien, la verdad no me quejo nada\n",
+      "AI:  Me alegra escuchar eso. Cómo estuvo tu día ayer?\n",
+      "Human: hace mucho calooor\n",
+      "AI:   Sí, el clima ha estado muy caliente últimamente. Dónde estabas?\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(conversation.memory.buffer)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.9.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}