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{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"id": "26b62e0c",
"metadata": {},
"outputs": [],
"source": [
"%load_ext autoreload\n",
"%autoreload "
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "b1a6a020",
"metadata": {
"scrolled": true
},
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/home/zuppif/miniconda3/envs/activeloop/lib/python3.9/site-packages/deeplake/util/check_latest_version.py:32: UserWarning: A newer version of deeplake (3.4.3) is available. It's recommended that you update to the latest version using `pip install -U deeplake`.\n",
" warnings.warn(\n",
"-"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"This dataset can be visualized in Jupyter Notebook by ds.visualize() or at https://app.activeloop.ai/zuppif/disney-lyrics\n",
"\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"|"
]
},
{
"name": "stdout",
"output_type": "stream",
"text": [
"hub://zuppif/disney-lyrics loaded successfully.\n",
"\n",
"Deep Lake Dataset in hub://zuppif/disney-lyrics already exists, loading from the storage\n",
"Dataset(path='hub://zuppif/disney-lyrics', read_only=True, tensors=['embedding', 'ids', 'metadata', 'text'])\n",
"\n",
" tensor htype shape dtype compression\n",
" ------- ------- ------- ------- ------- \n",
" embedding generic (85, 1536) float32 None \n",
" ids text (85, 1) str None \n",
" metadata json (85, 1) str None \n",
" text text (85, 1) str None \n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"\r",
" \r",
"\r",
" \r"
]
}
],
"source": [
"from dotenv import load_dotenv\n",
"load_dotenv() \n",
"from names import DATASET_ID, MODEL_ID\n",
"from data import load_db\n",
"import os\n",
"from langchain.chains import RetrievalQA, ConversationalRetrievalChain\n",
"from langchain.vectorstores import DeepLake\n",
"from langchain.llms import OpenAI\n",
"from langchain.embeddings.openai import OpenAIEmbeddings\n",
"from langchain.chat_models import ChatOpenAI\n",
"\n",
"embeddings = OpenAIEmbeddings(model=MODEL_ID)\n",
"dataset_path = f\"hub://{os.environ['ACTIVELOOP_ORG_ID']}/{DATASET_ID}\"\n",
"\n",
"db = load_db(dataset_path, embedding_function=embeddings, token=os.environ['ACTIVELOOP_TOKEN'], org_id=os.environ[\"ACTIVELOOP_ORG_ID\"], read_only=True)"
]
},
{
"cell_type": "code",
"execution_count": 80,
"id": "07d8a381",
"metadata": {},
"outputs": [],
"source": [
"from langchain.chains import LLMChain\n",
"from langchain.prompts import PromptTemplate\n",
"from pathlib import Path\n",
"\n",
"prompt = PromptTemplate(\n",
" input_variables=[\"content\"],\n",
" template=Path(\"prompts/bot.prompt\").read_text(),\n",
")\n",
"\n",
"llm = ChatOpenAI(temperature=0.7)\n",
"\n",
"chain = LLMChain(llm=llm, prompt=prompt)"
]
},
{
"cell_type": "code",
"execution_count": 81,
"id": "ebca722d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'Melancholy, Coziness, Nostalgia, Calmness.'"
]
},
"execution_count": 81,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"emotions = chain.run(content=\"It's rainy\")\n",
"emotions"
]
},
{
"cell_type": "code",
"execution_count": 84,
"id": "9598a36c",
"metadata": {
"scrolled": false
},
"outputs": [
{
"data": {
"text/plain": [
"'https://open.spotify.com/embed/track/5EeQQ8BVJTRkp1AIKJILGY?utm_source=generator'"
]
},
"execution_count": 84,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"doc, score = db.similarity_search_with_score(emotions, distance_metric=\"cos\")[0]\n",
"doc.metadata[\"embed_url\"]"
]
},
{
"cell_type": "code",
"execution_count": 83,
"id": "d6214e40",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"\n",
" <iframe\n",
" width=\"700\"\n",
" height=\"350\"\n",
" src=\"https://open.spotify.com/embed/track/5EeQQ8BVJTRkp1AIKJILGY?utm_source=generator\"\n",
" frameborder=\"0\"\n",
" allowfullscreen\n",
" \n",
" ></iframe>\n",
" "
],
"text/plain": [
"<IPython.lib.display.IFrame at 0x7fb0be920a00>"
]
},
"execution_count": 83,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"doc.metadata[\"embed_url\"]\n",
"\n",
"from IPython.display import IFrame\n",
"IFrame(doc.metadata[\"embed_url\"], width=700, height=350)"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "28ae2c63",
"metadata": {
"scrolled": true
},
"outputs": [
{
"data": {
"text/plain": [
"Dataset(path='hub://zuppif/disney-lyrics', read_only=True, index=Index([()]), tensors=['embedding', 'ids', 'metadata', 'text'])"
]
},
"execution_count": 4,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"db.ds.query(\"select * where contains(\\\"text\\\", 'Did they') limit 2\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1780552c",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"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": "3.9.16"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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