{
"nbformat": 4,
"nbformat_minor": 0,
"metadata": {
"colab": {
"provenance": [],
"authorship_tag": "ABX9TyOR8OpXk+/aLh4M9l6X1GSa",
"include_colab_link": true
},
"kernelspec": {
"name": "python3",
"display_name": "Python 3"
},
"language_info": {
"name": "python"
}
},
"cells": [
{
"cell_type": "markdown",
"metadata": {
"id": "view-in-github",
"colab_type": "text"
},
"source": [
"<a href=\"https://colab.research.google.com/github/yenlung/Python-AI-Book/blob/main/%E5%86%92%E9%9A%AA%E5%89%AF%E6%9C%AC06_%E7%94%A8OpenAI_API%E6%89%93%E9%80%A0%E8%87%AA%E5%B7%B1%E7%9A%84ChatGPT.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
]
},
{
"cell_type": "markdown",
"source": [
"這裡是因為 Colab 改版, 目前才需要這麼複雜的安裝。"
],
"metadata": {
"id": "bG0F5F6c8SPC"
}
},
{
"cell_type": "code",
"source": [
"!pip install -U tensorflow-probability\n",
"!pip install typing-extensions --upgrade\n",
"!pip install gradio\n",
"!pip install langchain\n",
"!pip install openai"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "_WMPaHnE46ao",
"outputId": "5dfef721-3f53-4661-d39a-efff197fb2c9"
},
"execution_count": 1,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
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" Found existing installation: tensorflow-probability 0.22.0\n",
" Uninstalling tensorflow-probability-0.22.0:\n",
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" Uninstalling typing_extensions-4.5.0:\n",
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"Building wheels for collected packages: ffmpy\n",
" Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=00aa266b7affb906e664f30017d2db8771f2632ef4021f1aa372f33e407d3e43\n",
" Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
"Successfully built ffmpy\n",
"Installing collected packages: pydub, ffmpy, websockets, tomlkit, shellingham, semantic-version, python-multipart, pydantic-core, orjson, h11, colorama, annotated-types, aiofiles, uvicorn, starlette, pydantic, httpcore, httpx, fastapi, gradio-client, gradio\n",
" Attempting uninstall: pydantic\n",
" Found existing installation: pydantic 1.10.13\n",
" Uninstalling pydantic-1.10.13:\n",
" Successfully uninstalled pydantic-1.10.13\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"lida 0.0.10 requires kaleido, which is not installed.\n",
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"Installing collected packages: openai\n",
"\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\n",
"llmx 0.0.15a0 requires cohere, which is not installed.\n",
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"\u001b[0mSuccessfully installed openai-1.5.0\n"
]
}
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {
"id": "R3_lAzjzz4w6"
},
"outputs": [],
"source": [
"%matplotlib inline\n",
"\n",
"import numpy as np\n",
"import pandas as pd\n",
"import matplotlib.pyplot as plt"
]
},
{
"cell_type": "markdown",
"source": [
"### 1. 使用 OpenAI 的 API\n",
"\n",
"我們先來安裝 `openai` 套件, 還有快速打造 Web App 的 `gradio`。"
],
"metadata": {
"id": "Ch-GA2w63pjm"
}
},
{
"cell_type": "code",
"source": [
"# 本來在這裡裝 openai 和 gradio, 但前面已經裝了\n",
"#\n",
"#!pip install openai\n",
"#!pip install gradio"
],
"metadata": {
"id": "hAR65--V8IMH"
},
"execution_count": 3,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"### 2. 申請自己的 OpenAI API 金鑰\n",
"\n",
"請先申請自己的 OpenAI API 金鑰\n",
"\n",
"[`https://platform.openai.com`](https://platform.openai.com)\n",
"\n",
"\n"
],
"metadata": {
"id": "18IBt0Ph-k0u"
}
},
{
"cell_type": "markdown",
"source": [
"### 3. 使用 ChatGPT API\n",
"\n",
"首先使用 `openai` 套件。"
],
"metadata": {
"id": "RdQWlryD3sWO"
}
},
{
"cell_type": "code",
"source": [
"from openai import OpenAI"
],
"metadata": {
"id": "AE_hxsf7_xnw"
},
"execution_count": 4,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"把自己的金鑰貼上。"
],
"metadata": {
"id": "gnl3KyX5oOsv"
}
},
{
"cell_type": "code",
"source": [
"client = OpenAI(\n",
" # defaults to os.environ.get(\"OPENAI_API_KEY\")\n",
" api_key=\"你的 API 金鑰\",\n",
")"
],
"metadata": {
"id": "j1JpbbMV6XUj"
},
"execution_count": 5,
"outputs": []
},
{
"cell_type": "markdown",
"source": [
"ChatGPT API 的重點是要把之前對話的內容送給 ChatGPT, 然後他就會有個適當的回應!\n",
"\n",
"角色 (`role`) 一共有三種, 分別是:\n",
"\n",
"* `system`: 這是對話機器人的「人設」\n",
"* `user`: 使用者\n",
"* `assistant`: ChatGPT 的回應"
],
"metadata": {
"id": "2QvMR3uRph__"
}
},
{
"cell_type": "code",
"source": [
"prompt = \"我今天心情很不好。\"\n",
"\n",
"messages = [{\"role\":\"system\", \"content\":\"你是一個非常溫暖的對話機器人，回應都簡短，儘量不要超過二十個字，而且有同理心。\"},\n",
" {\"role\": \"user\", \"content\": prompt}]"
],
"metadata": {
"id": "fMVm-Wf9lV1Y"
},
"execution_count": 6,
"outputs": []
},
{
"cell_type": "code",
"source": [
"messages"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "iyBTn_gvfodo",
"outputId": "cc3b9053-2c18-4e63-dd2d-03bab5ec70e9"
},
"execution_count": 7,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[{'role': 'system', 'content': '你是一個非常溫暖的對話機器人，回應都簡短，儘量不要超過二十個字，而且有同理心。'},\n",
" {'role': 'user', 'content': '我今天心情很不好。'}]"
]
},
"metadata": {},
"execution_count": 7
}
]
},
{
"cell_type": "markdown",
"source": [
"現在我們來接 ChatGPT 的回應。"
],
"metadata": {
"id": "L7jPL2CsqrPh"
}
},
{
"cell_type": "code",
"source": [
"chat_completion = client.chat.completions.create(\n",
" messages=messages,\n",
" model=\"gpt-3.5-turbo\",\n",
")"
],
"metadata": {
"id": "3jRMTUR-56FI"
},
"execution_count": 8,
"outputs": []
},
{
"cell_type": "code",
"source": [
"chat_completion"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "FYwlEV9Q7RsJ",
"outputId": "18a65a25-c82a-4881-9791-496cb3d952dc"
},
"execution_count": 9,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"ChatCompletion(id='chatcmpl-8XT4spSlQ6esL4VNGZQlbmEy39i50', choices=[Choice(finish_reason='stop', index=0, logprobs=None, message=ChatCompletionMessage(content='怎麼了？可以跟我分享嗎？', role='assistant', function_call=None, tool_calls=None))], created=1702987290, model='gpt-3.5-turbo-0613', object='chat.completion', system_fingerprint=None, usage=CompletionUsage(completion_tokens=16, prompt_tokens=77, total_tokens=93))"
]
},
"metadata": {},
"execution_count": 9
}
]
},
{
"cell_type": "code",
"source": [
"chat_completion.choices[0].message.content"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"id": "Xegd9iGW6G5T",
"outputId": "9e7a2a19-69af-4421-925a-348ec4bc00dd"
},
"execution_count": 10,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'怎麼了？可以跟我分享嗎？'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 10
}
]
},
{
"cell_type": "code",
"source": [
"reply = chat_completion.choices[0].message.content"
],
"metadata": {
"id": "VSADO3xzmJ2n"
},
"execution_count": 11,
"outputs": []
},
{
"cell_type": "code",
"source": [
"reply"
],
"metadata": {
"id": "75i8fwTdmejU",
"colab": {
"base_uri": "https://localhost:8080/",
"height": 35
},
"outputId": "df8bd843-429c-4552-d9f0-caba9ae02678"
},
"execution_count": 12,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"'怎麼了？可以跟我分享嗎？'"
],
"application/vnd.google.colaboratory.intrinsic+json": {
"type": "string"
}
},
"metadata": {},
"execution_count": 12
}
]
},
{
"cell_type": "code",
"source": [
"messages.append({\"role\":\"assistant\", \"content\":reply})"
],
"metadata": {
"id": "9rXEzCU3gfDn"
},
"execution_count": 13,
"outputs": []
},
{
"cell_type": "code",
"source": [
"messages"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "vlxRhJCSgqab",
"outputId": "b2d510c5-7af5-410e-8d39-409e81c2cc1f"
},
"execution_count": 14,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[{'role': 'system', 'content': '你是一個非常溫暖的對話機器人，回應都簡短，儘量不要超過二十個字，而且有同理心。'},\n",
" {'role': 'user', 'content': '我今天心情很不好。'},\n",
" {'role': 'assistant', 'content': '怎麼了？可以跟我分享嗎？'}]"
]
},
"metadata": {},
"execution_count": 14
}
]
},
{
"cell_type": "markdown",
"source": [
"### 4. 打造一個可以一直說下去的 ChatGPT"
],
"metadata": {
"id": "dGRAYC-Krbmm"
}
},
{
"cell_type": "code",
"source": [
"icon = \"(*ﾟ▽ﾟ*): \"\n",
"messages = [{\"role\":\"system\", \"content\":\"你是一個非常溫暖的對話機器人，回應都簡短，儘量不要超過二十個字，而且有同理心。\"}]\n",
"\n",
"while True:\n",
" prompt = input('> ')\n",
" if 'bye' in prompt:\n",
" print('再見, 下次再聊!')\n",
" break\n",
" messages.append({\"role\": \"user\", \"content\": prompt})\n",
" chat_completion = client.chat.completions.create(\n",
" messages=messages,\n",
" model=\"gpt-3.5-turbo\",\n",
" )\n",
"\n",
" reply = chat_completion.choices[0].message.content\n",
" print(icon + reply)\n",
" print()\n",
" messages.append({\"role\": \"assistant\", \"content\": reply})"
],
"metadata": {
"id": "fKG21EHhk9UF",
"colab": {
"base_uri": "https://localhost:8080/"
},
"outputId": "8fc8331e-981a-4b54-c0aa-c3e0a2c59b3a"
},
"execution_count": 15,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"> 我覺得很難過\n",
"(*ﾟ▽ﾟ*): 為什麼呢？可以跟我說說嗎？\n",
"\n",
"> Python 都不會寫\n",
"(*ﾟ▽ﾟ*): 沒關係，學習一門程式語言需要時間和練習。你可以從基礎開始，慢慢學習，我相信你能掌握Python的！加油！\n",
"\n",
"> 同學都排擠我\n",
"(*ﾟ▽ﾟ*): 這讓你感到不舒服。試著與他們溝通，或尋找其他人與你有共同興趣的朋友。你不是孤單的，我在這裡支持你。\n",
"\n",
"> 先這樣, bye\n",
"再見, 下次再聊!\n"
]
}
]
},
{
"cell_type": "markdown",
"source": [
"### 5. 最後用 `gradio` 打造 ChatGPT 網路應用程式!"
],
"metadata": {
"id": "5ZTlA5mBr3CO"
}
},
{
"cell_type": "code",
"source": [
"import gradio as gr"
],
"metadata": {
"id": "xv7nvjfDj3f2"
},
"execution_count": 16,
"outputs": []
},
{
"cell_type": "code",
"source": [
"messages = [{\"role\":\"system\", \"content\":\"你是一個非常溫暖的對話機器人，回應都簡短，儘量不要超過二十個字，而且有同理心。\"}]\n"
],
"metadata": {
"id": "-N3HEyOlB5ZD"
},
"execution_count": 17,
"outputs": []
},
{
"cell_type": "code",
"source": [
"def pipi(prompt, history):\n",
" history = history or []\n",
" global messages\n",
"\n",
" messages.append({\"role\": \"user\", \"content\": prompt})\n",
" chat_completion = client.chat.completions.create(\n",
" messages=messages,\n",
" model=\"gpt-3.5-turbo\",\n",
" )\n",
" reply = chat_completion.choices[0].message.content\n",
" messages.append({\"role\": \"assistant\", \"content\": reply})\n",
" history = history + [[prompt, reply]]\n",
"\n",
" return history, history"
],
"metadata": {
"id": "_-VewlGBiJuE"
},
"execution_count": 18,
"outputs": []
},
{
"cell_type": "code",
"source": [
"chatbot = gr.Chatbot()"
],
"metadata": {
"id": "VjE_RCr1jZc2"
},
"execution_count": 19,
"outputs": []
},
{
"cell_type": "code",
"source": [
"iface = gr.Interface(pipi,\n",
" inputs=[\"text\", \"state\"],\n",
" outputs=[chatbot, \"state\"],\n",
" title=\"療癒系拍拍機器人\",\n",
" description=\"你有什麼心事, 歡迎來找我聊聊 :)\")"
],
"metadata": {
"id": "LVrcuUpYjwP0"
},
"execution_count": 22,
"outputs": []
},
{
"cell_type": "code",
"source": [
"iface.launch(share=True)"
],
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 612
},
"id": "xQDaCtzxkCD7",
"outputId": "f4f91768-38a0-410f-ef82-30cd77754623"
},
"execution_count": 23,
"outputs": [
{
"output_type": "stream",
"name": "stdout",
"text": [
"Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
"Running on public URL: https://a070a50d7289189f1f.gradio.live\n",
"\n",
"This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
]
},
{
"output_type": "display_data",
"data": {
"text/plain": [
"<IPython.core.display.HTML object>"
],
"text/html": [
"<div><iframe src=\"https://a070a50d7289189f1f.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
]
},
"metadata": {}
},
{
"output_type": "execute_result",
"data": {
"text/plain": []
},
"metadata": {},
"execution_count": 23
}
]
},
{
"cell_type": "code",
"source": [],
"metadata": {
"id": "M5bBETHIkFGB"
},
"execution_count": null,
"outputs": []
}
]
}