{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [],
"source": [
"! pip install -q --upgrade google-generativeai langchain-google-genai gradio"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/vasim/.local/lib/python3.10/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"
]
}
],
"source": [
"import os\n",
"from langchain.document_loaders import (\n",
" PyPDFLoader,\n",
" TextLoader,\n",
" Docx2txtLoader\n",
")\n",
"\n",
"from langchain.text_splitter import CharacterTextSplitter\n",
"# from PyPDF2 import PdfReader\n",
"from langchain.text_splitter import RecursiveCharacterTextSplitter\n",
"from langchain_google_genai import GoogleGenerativeAIEmbeddings\n",
"import google.generativeai as genai\n",
"from langchain.vectorstores import FAISS\n",
"from langchain_google_genai import ChatGoogleGenerativeAI\n",
"from langchain.chains.question_answering import load_qa_chain\n",
"from langchain.prompts import PromptTemplate\n",
"from dotenv import load_dotenv"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"True"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"load_dotenv()"
]
},
{
"cell_type": "code",
"execution_count": 4,
"metadata": {},
"outputs": [
{
"data": {
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]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"embeddings = GoogleGenerativeAIEmbeddings(model = \"models/embedding-001\")\n",
"embeddings.embed_query(\"I am good\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"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": "3.10.12"
}
},
"nbformat": 4,
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}