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buddypia/url_summary.ipynb

Created December 4, 2023 08:21
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/gist/shoridevel/e8d240df398bd7e8889ba174fd8ae6c7/url_summary.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "uMbrG4sNo5dd"
},
"source": [
"# 依存パッケージのインストール"
]
},
{
"cell_type": "code",
"execution_count": 19,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "B1nW1j4Voddk",
"outputId": "5debb69f-18c8-46ca-bedc-b2a7f085208b"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Requirement already satisfied: idna>=2.8 in /usr/local/lib/python3.10/dist-packages (from anyio<4.0->langchain) (3.6)\n",
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]
}
],
"source": [
"!pip install langchain openai streamlit unstructured youtube-transcript-api pytube"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "6FdZ8U80tFNR"
},
"source": [
"# 要約ロジック"
]
},
{
"cell_type": "code",
"execution_count": 20,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "90_1tI02tHSd",
"outputId": "62d6735f-50f2-4940-ec98-a35a2068e41b"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Overwriting app.py\n",
"Overwriting app.py\n"
]
}
],
"source": [
"%%writefile app.py\n",
"import validators, streamlit as st\n",
"from langchain.chat_models import ChatOpenAI\n",
"from langchain.document_loaders import YoutubeLoader, UnstructuredURLLoader\n",
"from langchain.chains.summarize import load_summarize_chain\n",
"from langchain.prompts import PromptTemplate\n",
"\n",
"# Streamlit app\n",
"st.subheader('URL要約')\n",
"openai_api_key = st.text_input(\"OpenAI API Key\", type=\"password\")\n",
"url = st.text_input(\"要約するURLを入力してください\")\n",
"\n",
"# 要約するボタンが押された時実行\n",
"if st.button(\"要約する\"):\n",
" # Validate inputs\n",
" if not openai_api_key:\n",
" st.error(\"OpenAIのAPIキーを入力してください。\")\n",
" elif not url:\n",
" st.error(\"URLを入力してください。\")\n",
" elif not validators.url(url):\n",
" st.error(\"有効なURLを入力してください。\")\n",
" else:\n",
" try:\n",
" with st.spinner(\"少々お待ちください。\"):\n",
" # URlからデータの取得\n",
" if \"youtube.com\" in url:\n",
" loader = YoutubeLoader.from_youtube_url(url, add_video_info=True, language=\"ja\")\n",
" else:\n",
" loader = UnstructuredURLLoader(urls=[url], ssl_verify=False, headers={\"User-Agent\": \"Mozilla/5.0 (Macintosh; Intel Mac OS X 13_5_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/116.0.0.0 Safari/537.36\"})\n",
" data = loader.load()\n",
"\n",
" # ChatOpenAI モジュールを初期化し、要約チェーンを実行します。\n",
" llm = ChatOpenAI(temperature=0, model='gpt-4', openai_api_key=openai_api_key)\n",
" prompt_template = \"\"\"以下の内容を日本語で1000文字程度で要約してください。\n",
"\n",
" {text}\n",
"\n",
" \"\"\"\n",
" prompt = PromptTemplate(template=prompt_template, input_variables=[\"text\"])\n",
" chain = load_summarize_chain(llm, chain_type=\"stuff\", prompt=prompt)\n",
" summary = chain.run(data)\n",
"\n",
" st.success(summary)\n",
" except Exception as e:\n",
" st.exception(f\"Exception: {e}\")\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 21,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "-aGya0iKtisT",
"outputId": "1ff8d699-1663-4978-9e81-dab2c5e646ce"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\u001b[K\u001b[?25h\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m \u001b[0m\u001b[35msaveError\u001b[0m ENOENT: no such file or directory, open '/content/package.json'\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m \u001b[0m\u001b[35menoent\u001b[0m ENOENT: no such file or directory, open '/content/package.json'\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m\u001b[35m\u001b[0m content No description\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m\u001b[35m\u001b[0m content No repository field.\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m\u001b[35m\u001b[0m content No README data\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m\u001b[35m\u001b[0m content No license field.\n",
"\u001b[0m\n",
"\u001b[K\u001b[?25h+ localtunnel@2.0.2\n",
"updated 1 package and audited 36 packages in 0.367s\n",
"\n",
"3 packages are looking for funding\n",
" run `npm fund` for details\n",
"\n",
"found 2 \u001b[93mmoderate\u001b[0m severity vulnerabilities\n",
" run `npm audit fix` to fix them, or `npm audit` for details\n",
"\u001b[K\u001b[?25h\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m \u001b[0m\u001b[35msaveError\u001b[0m ENOENT: no such file or directory, open '/content/package.json'\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m \u001b[0m\u001b[35menoent\u001b[0m ENOENT: no such file or directory, open '/content/package.json'\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m\u001b[35m\u001b[0m content No description\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m\u001b[35m\u001b[0m content No repository field.\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m\u001b[35m\u001b[0m content No README data\n",
"\u001b[0m\u001b[37;40mnpm\u001b[0m \u001b[0m\u001b[30;43mWARN\u001b[0m\u001b[35m\u001b[0m content No license field.\n",
"\u001b[0m\n",
"\u001b[K\u001b[?25h+ localtunnel@2.0.2\n",
"updated 1 package and audited 36 packages in 0.7s\n",
"\n",
"3 packages are looking for funding\n",
" run `npm fund` for details\n",
"\n",
"found 2 \u001b[93mmoderate\u001b[0m severity vulnerabilities\n",
" run `npm audit fix` to fix them, or `npm audit` for details\n"
]
}
],
"source": [
"!npm install localtunnel"
]
},
{
"cell_type": "code",
"execution_count": 22,
"metadata": {
"id": "9xRY0VIAtjcy",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "7988455a-1cd9-416f-f6dc-2ccdc422471d"
},
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"\n",
"Collecting usage statistics. To deactivate, set browser.gatherUsageStats to False.\n",
"\u001b[0m\n",
"\u001b[0m\n",
"\u001b[34m\u001b[1m You can now view your Streamlit app in your browser.\u001b[0m\n",
"\u001b[0m\n",
"\u001b[34m Network URL: \u001b[0m\u001b[1mhttp://172.28.0.12:8501\u001b[0m\n",
"\u001b[34m External URL: \u001b[0m\u001b[1mhttp://34.125.125.56:8501\u001b[0m\n",
"\u001b[0m\n",
"\u001b[K\u001b[?25hnpx: installed 22 in 1.424s\n",
"your url is: https://breezy-icons-give.loca.lt\n",
"\u001b[34m Stopping...\u001b[0m\n",
"^C\n"
]
}
],
"source": [
"!streamlit run app.py & sleep 3 && npx localtunnel --port 8501"
]
}
],
"metadata": {
"accelerator": "GPU",
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyPptJx/URx4RuOWz+2KMYkk",
"include_colab_link": true
},
"kernelspec": {
"display_name": "Python 3",
"name": "python3"
},
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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