Langchain scripts for Dataloader and ConversationalChain

Dataloader and Conversational Chain.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "f4d521f0",
   "metadata": {},
   "outputs": [],
   "source": [
    "from langchain.document_loaders import TextLoader\n",
    "from langchain.text_splitter import CharacterTextSplitter\n",
    "import os\n",
    "\n",
    "# Load and split your source code and documentation\n",
    "root_dir = '/directory'\n",
    "docs = []\n",
    "for dirpath, dirnames, filenames in os.walk(root_dir):\n",
    "    for file in filenames:\n",
    "        if file.endswith('.py') and '/.venv/' not in dirpath:\n",
    "            try:\n",
    "                loader = TextLoader(os.path.join(dirpath, file), encoding='utf-8')\n",
    "                docs.extend(loader.load_and_split())\n",
    "            except Exception as e:\n",
    "                pass\n",
    "\n",
    "text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
    "texts = text_splitter.split_documents(docs)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e4e250f2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# Search for relevant information using LangChain's conversational retrieval chain\n",
    "from langchain.chains import ConversationalRetrievalChain\n",
    "from langchain.chat_models import ChatOpenAI\n",
    "\n",
    "chain = ConversationalRetrievalChain(ChatOpenAI())\n",
    "questions = ['How do I write to a file in Python?']\n",
    "answers = chain.run(questions, texts)\n",
    "\n",
    "# Write the relevant information to a file\n",
    "with open('output.txt', 'w') as f:\n",
    "    f.write(answers[0])"
   ]
  }
 ],
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   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
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   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.2"
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 "nbformat": 4,
 "nbformat_minor": 5
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