notebooks/API - OpenAI.ipynb

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    "# ChatGPT vs BARD | using GPT Prompts, Code, Interpreter\n",
    "\n",
    "How to use OpenAI ChatGPT API\n",
    "- Python\n",
    "- using Curl\n",
    "\n",
    "ChatGPT Prompt\n",
    "- Text completion   \n",
    "- Code completion\n",
    "\n",
    "Code Interpreter\n",
    "\n",
    "BARD vs ChatGPT\n",
    "\n",
    "---\n",
    "## How to use OpenAI ChatGPT API\n",
    "---\n",
    "\n",
    "- web based interface\n",
    "- Python API\n",
    "- CURL\n",
    "- build your own plugin | API"
   ]
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       "          \"id\": \"modelperm-qhSf1j2MJMujcu3t7cHnF1DN\",\n",
       "          \"is_blocking\": false,\n",
       "          \"object\": \"model_permission\",\n",
       "          \"organization\": \"*\"\n",
       "        }\n",
       "      ],\n",
       "      \"root\": \"text-search-davinci-doc-001\"\n",
       "    },\n",
       "    {\n",
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       "      \"permission\": [\n",
       "        {\n",
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       "          \"allow_fine_tuning\": false,\n",
       "          \"allow_logprobs\": true,\n",
       "          \"allow_sampling\": true,\n",
       "          \"allow_search_indices\": true,\n",
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       "          \"created\": 1669084981,\n",
       "          \"group\": null,\n",
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       "          \"is_blocking\": false,\n",
       "          \"object\": \"model_permission\",\n",
       "          \"organization\": \"*\"\n",
       "        }\n",
       "      ],\n",
       "      \"root\": \"text-search-babbage-query-001\"\n",
       "    },\n",
       "    {\n",
       "      \"created\": 1651172510,\n",
       "      \"id\": \"curie-similarity\",\n",
       "      \"object\": \"model\",\n",
       "      \"owned_by\": \"openai-dev\",\n",
       "      \"parent\": null,\n",
       "      \"permission\": [\n",
       "        {\n",
       "          \"allow_create_engine\": false,\n",
       "          \"allow_fine_tuning\": false,\n",
       "          \"allow_logprobs\": true,\n",
       "          \"allow_sampling\": true,\n",
       "          \"allow_search_indices\": true,\n",
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       "          \"is_blocking\": false,\n",
       "          \"object\": \"model_permission\",\n",
       "          \"organization\": \"*\"\n",
       "        }\n",
       "      ],\n",
       "      \"root\": \"curie-similarity\"\n",
       "    },\n",
       "    {\n",
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       "      \"id\": \"curie\",\n",
       "      \"object\": \"model\",\n",
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       "        {\n",
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       "          \"allow_logprobs\": true,\n",
       "          \"allow_sampling\": true,\n",
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       "          \"allow_sampling\": true,\n",
       "          \"allow_search_indices\": true,\n",
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       "    {\n",
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       "      \"object\": \"model\",\n",
       "      \"owned_by\": \"openai-dev\",\n",
       "      \"parent\": null,\n",
       "      \"permission\": [\n",
       "        {\n",
       "          \"allow_create_engine\": false,\n",
       "          \"allow_fine_tuning\": false,\n",
       "          \"allow_logprobs\": true,\n",
       "          \"allow_sampling\": true,\n",
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       "      \"root\": \"text-similarity-davinci-001\"\n",
       "    },\n",
       "    {\n",
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       "      \"id\": \"text-davinci-002\",\n",
       "      \"object\": \"model\",\n",
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       "      \"parent\": null,\n",
       "      \"permission\": [\n",
       "        {\n",
       "          \"allow_create_engine\": false,\n",
       "          \"allow_fine_tuning\": false,\n",
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       "          \"allow_sampling\": true,\n",
       "          \"allow_search_indices\": false,\n",
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       "          \"is_blocking\": false,\n",
       "          \"object\": \"model_permission\",\n",
       "          \"organization\": \"*\"\n",
       "        }\n",
       "      ],\n",
       "      \"root\": \"text-davinci-002\"\n",
       "    },\n",
       "    {\n",
       "      \"created\": 1651172509,\n",
       "      \"id\": \"davinci-similarity\",\n",
       "      \"object\": \"model\",\n",
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       "      \"parent\": null,\n",
       "      \"permission\": [\n",
       "        {\n",
       "          \"allow_create_engine\": false,\n",
       "          \"allow_fine_tuning\": false,\n",
       "          \"allow_logprobs\": true,\n",
       "          \"allow_sampling\": true,\n",
       "          \"allow_search_indices\": true,\n",
       "          \"allow_view\": true,\n",
       "          \"created\": 1669066353,\n",
       "          \"group\": null,\n",
       "          \"id\": \"modelperm-lYYgng3LM0Y97HvB5CDc8no2\",\n",
       "          \"is_blocking\": false,\n",
       "          \"object\": \"model_permission\",\n",
       "          \"organization\": \"*\"\n",
       "        }\n",
       "      ],\n",
       "      \"root\": \"davinci-similarity\"\n",
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       "  ],\n",
       "  \"object\": \"list\"\n",
       "}"
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# pip install openai\n",
    "\n",
    "import os\n",
    "import openai\n",
    "openai.organization = \"org-wDk1StTh2q8An7BShjzr6zJF\"\n",
    "\n",
    "openai.api_key = os.getenv(\"OPENAI_API_KEY\") # setup windows environment variable\n",
    "model_engine = \"gpt-3.5-turbo\"\n",
    "model_engine = \"text-davinci-003\"\n",
    "openai.Model.list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "completion = openai.ChatCompletion.create(\n",
    "  model=model_engine,\n",
    "  messages=[\n",
    "    {\"role\": \"user\", \"content\": \"rephrase: I also need an environment (high end machine with more storage) which I can use to schedule BOTs in parallel,These BOTs currently run on 1-2 Laptop machines which slows down data extraction. Storage and transmission.Having a high end Snowflake or Oracle like Data Lake environment, will help me expedite data extraction, reconciliation and transmission.\"}\n",
    "  ]\n",
    ")\n",
    "\n",
    "print(completion.choices[0].message.content)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## using curl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "curl https://api.openai.com/v1/completions \\\n",
    "  -H \"Content-Type: application/json\" \\\n",
    "  -H \"Authorization: Bearer $OPENAI_API_KEY\" \\\n",
    "  -d '{\n",
    "    \"model\": \"text-davinci-003\",\n",
    "    \"prompt\": \"Say this is a test\",\n",
    "    \"max_tokens\": 7,\n",
    "    \"temperature\": 0\n",
    "  }'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## ChatGPT Prompt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Text completion"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- write an intro paragraph to my technical blog post about Open AI ChatGPT\n",
    "- rephrase this text: My name is Anthony Gonzales, \n",
    "  I live alone in slum in Mumbai Dharavi. \n",
    "  There is one movie based on my life \"Slum dog millionaire\" won several awards.\n",
    "- what awards movie name Slum dog millionaire won\n",
    "- summarize this paragraph\n",
    "- create a table from this text\n",
    "- classify the named entities in this list. \n",
    "  An apple, building, melon, tomato, news paper, sky and moon.\n",
    "- translate this text into Arabic: welcome to the RPA youtube tutorials.\n",
    "- write a paragraph on the topic of crowd funding request in a formal style\n",
    "- write a tweet on impact of global warming on sea life\n",
    "- write a blog on indo-chinese cuisine\n",
    "- write an email to my boss seeking his approval to move forward with Open AI Project.\n",
    "- write my resume based on this summary.\n",
    "- persona\n",
    "    - write a paragraph on the topic of copying propertied\n",
    "    IT design and intellectual property in an informal style\n",
    "    - write a paragraph on the topic of copying propertied\n",
    "    IT design and intellectual property in an formal style\n",
    "    - write a paragraph on the topic of copying propertied\n",
    "     IT design and intellectual property in an blogger style"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Code Completion\n",
    "\n",
    "- write code\n",
    "- write mermaid graph\n",
    "- create an ERD diagram\n",
    "- write a docstring description for this function\n",
    "def add(x, y):\n",
    "    return x + y\n",
    "- convert this code from Python to Javascript:\n",
    "def add(x, y):\n",
    "    return x + y\n",
    "- convert this JSON object into XML:\n",
    "- convert this text into nodes and edges\n",
    "- webscrape - get text from HTML\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Code Interpreter\n",
    "---\n",
    "\n",
    "explain this code"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## BARD vs ChatGPT vs Llama 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "write and compare code generated by BARD vs ChatGPT\n",
    "\n",
    "| Topic | ChatGPT | BARD |\n",
    "| -------- | -------- | -------- |\n",
    "| [Generate and Read QR Code](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Generate%20and%20Read%20QR%20Code.ipynb)   | 10   | 10   |\n",
    "| [Generate Image Watermark](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Generate%20Image%20Watermark.ipynb)   | 10   | 10   |\n",
    "| [Tic Tac Toe](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Tic%20Tac%20Toe.ipynb)   | 10   | 10   |\n",
    "| [Basic Scientific calculator](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Scientific%20calculator.ipynb)   | 10   | 10   |\n",
    "| [Count down timer](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Timer%20Count%20down.ipynb)   | 10   | 9   |\n",
    "| [Timer](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Timer.ipynb)   | 10   | 10   |\n",
    "| [Boxing match timer for 10 rounds 3 mins each with 2 min break](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Timer%20Boxing.ipynb)   | 10   | 10   |\n",
    "| [Jump rope counter](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Timer%20Jump%20rope.ipynb)   | 10   | 7   |\n",
    "| [Reading a cookie file](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Reading%20a%20cookie%20file.ipynb)   | 10   | 10   |\n",
    "| [Create fake test data using ChatGPT](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Create%20fake%20test%20data%20using%20ChatGPT.ipynb)   | 10   | 10   |\n",
    "| [Tree Flattening](https://github.com/AmitXShukla/RPA/blob/main/notebooks/Tree%20Flattening.ipynb)   | 5   | 5   |"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## how to setup Llama 2\n",
    "---\n",
    "\n",
    "Before you start, you must sign up with Meta AI to receive an email URL which lets you download model and model weights.\n",
    "\n",
    "[https://ai.meta.com/resources/models-and-libraries/llama-downloads/](https://ai.meta.com/resources/models-and-libraries/llama-downloads/)\n",
    "\n",
    "    - make sure you receive and download url from Meta AI in your email\n",
    "        PS> This url is only valid for 24 hours.\n",
    "\n",
    "These instructions are meant for downloading and running Llama models on Linux machines with GPU.\n",
    "*Certain hacks may be required to make it work on Windows and non-GPU machines.*\n",
    "\n",
    "\n",
    "- download Llama git repository\n",
    "    `git clone https://github.com/facebookresearch/llama.git`\n",
    "\n",
    "    PS: > if you don't have Git on your machine,\n",
    "\n",
    "    `sudo apt install git-all`\n",
    "\n",
    "- make sure you have `wget` & `md5sum` installed\n",
    "\n",
    "- browse to llama git repo and run\n",
    "    `./download.sh`\n",
    "\n",
    "    PS: > you may to grant download.sh executable permission\n",
    "    \n",
    "    `chmod +x download.sh`\n",
    "\n",
    "    enter url\n",
    "\n",
    "    Hit Enter to download all model and model weight\n",
    "\n",
    "- browse to your root of llama repository and run\n",
    "\n",
    "    `pip install -e .`\n",
    "\n",
    "    This will install all required python packages and dependencies\n",
    "\n",
    "\n",
    "- make appropriate changes to dialogues/prompts in these two files\n",
    "\n",
    "- test model for prompts\n",
    "\n",
    "    `torchrun --nproc_per_node 1 example_text_completion.py --ckpt_dir llama-2-7b/ --tokenizer_path tokenizer.model --max_seq_len 128 --max_batch_size 4`\n",
    "\n",
    "    `torchrun --nproc_per_node 1 example_chat_completion.py --ckpt_dir llama-2-7b/ --tokenizer_path tokenizer.model --max_seq_len 128 --max_batch_size 4`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
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