[
{
"path": ".github/FUNDING.yml",
"content": "# These are supported funding model platforms\ncustom: ['https://www.buymeacoffee.com/bhattbhavesh91']\n"
},
{
"path": ".gitignore",
"content": "MANIFEST\nbuild\ndist\n_build\ndocs/man/*.gz\ndocs/source/api/generated\ndocs/source/config.rst\ndocs/gh-pages\nnotebook/i18n/*/LC_MESSAGES/*.mo\nnotebook/i18n/*/LC_MESSAGES/nbjs.json\nnotebook/static/components\nnotebook/static/style/*.min.css*\nnotebook/static/*/js/built/\nnotebook/static/*/built/\nnotebook/static/built/\nnotebook/static/*/js/main.min.js*\nnotebook/static/lab/*bundle.js\nnode_modules\n*.py[co]\n__pycache__\n*.egg-info\n*~\n*.bak\n.ipynb_checkpoints\n.tox\n.DS_Store\n\\#*#\n.#*\n.coverage\n.pytest_cache\nsrc\n\n*.swp\n*.map\n.idea/\nRead the Docs\nconfig.rst\n\n/.project\n/.pydevproject\n\npackage-lock.json\ngeckodriver.log\n"
},
{
"path": "LICENSE",
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},
{
"path": "README.md",
"content": "# OpenAI's GPT-3 to generate SQL from Natural Language!\n\n**If you like my work, you can support me by buying me a coffee by clicking the link below**\n\n\n\n## To view the video\n\n
\n
\n
\n
\n
\n\nor click on the image below\n\n[](http://www.youtube.com/watch?v=9g66yO0Jues)\n\n## Follow Me\n\n\n\n\n\n\n
Show your support by starring the repository 🙂
\n"
},
{
"path": "gpt-3-notebook.ipynb",
"content": "{\"nbformat\":4,\"nbformat_minor\":0,\"metadata\":{\"colab\":{\"name\":\"GPT-3-Demo.ipynb\",\"provenance\":[],\"collapsed_sections\":[],\"authorship_tag\":\"ABX9TyNfqR7vWsi34k6mv0Yi02Yy\"},\"kernelspec\":{\"name\":\"python3\",\"display_name\":\"Python 3\"}},\"cells\":[{\"cell_type\":\"code\",\"metadata\":{\"id\":\"heIf5_ducY8T\",\"colab_type\":\"code\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":297},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471247881,\"user_tz\":-330,\"elapsed\":8803,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}},\"outputId\":\"c668882d-1977-4c74-bdd5-584d27bd82f3\"},\"source\":[\"!pip install openai\"],\"execution_count\":1,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"Collecting openai\\n\",\"\\u001b[?25l Downloading https://files.pythonhosted.org/packages/a8/65/c7461f4c87984534683f480ea5742777bc39bbf5721123194c2d0347dc1f/openai-0.2.4.tar.gz (157kB)\\n\",\"\\r\\u001b[K |██ | 10kB 13.1MB/s eta 0:00:01\\r\\u001b[K |████▏ | 20kB 1.6MB/s eta 0:00:01\\r\\u001b[K |██████▎ | 30kB 1.8MB/s eta 0:00:01\\r\\u001b[K |████████▍ | 40kB 2.1MB/s eta 0:00:01\\r\\u001b[K |██████████▍ | 51kB 2.0MB/s eta 0:00:01\\r\\u001b[K |████████████▌ | 61kB 2.1MB/s eta 0:00:01\\r\\u001b[K |██████████████▋ | 71kB 2.3MB/s eta 0:00:01\\r\\u001b[K |████████████████▊ | 81kB 2.4MB/s eta 0:00:01\\r\\u001b[K |██████████████████▊ | 92kB 2.6MB/s eta 0:00:01\\r\\u001b[K |████████████████████▉ | 102kB 2.8MB/s eta 0:00:01\\r\\u001b[K |███████████████████████ | 112kB 2.8MB/s eta 0:00:01\\r\\u001b[K |█████████████████████████ | 122kB 2.8MB/s eta 0:00:01\\r\\u001b[K |███████████████████████████ | 133kB 2.8MB/s eta 0:00:01\\r\\u001b[K |█████████████████████████████▏ | 143kB 2.8MB/s eta 0:00:01\\r\\u001b[K |███████████████████████████████▎| 153kB 2.8MB/s eta 0:00:01\\r\\u001b[K |████████████████████████████████| 163kB 2.8MB/s \\n\",\"\\u001b[?25hRequirement already satisfied: requests>=2.20 in /usr/local/lib/python3.6/dist-packages (from openai) (2.23.0)\\n\",\"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (2020.6.20)\\n\",\"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (3.0.4)\\n\",\"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (2.10)\\n\",\"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (1.24.3)\\n\",\"Building wheels for collected packages: openai\\n\",\" Building wheel for openai (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\" Created wheel for openai: filename=openai-0.2.4-cp36-none-any.whl size=170709 sha256=7ae56fa654e2071a250acdeed89d5fb874faa15c8755bb252607201d0e434798\\n\",\" Stored in directory: /root/.cache/pip/wheels/74/96/c8/c6e170929c276b836613e1b9985343b501fe455e53d85e7d48\\n\",\"Successfully built openai\\n\",\"Installing collected packages: openai\\n\",\"Successfully installed openai-0.2.4\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"JIObOT-ybumY\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471299970,\"user_tz\":-330,\"elapsed\":951,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"import json\\n\",\"import openai\"],\"execution_count\":2,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"m42z9jQxqA2b\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471313449,\"user_tz\":-330,\"elapsed\":1104,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"with open('GPT_SECRET_KEY.json') as f:\\n\",\" data = json.load(f)\"],\"execution_count\":3,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"75Yg2gB7p3Q0\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471324175,\"user_tz\":-330,\"elapsed\":703,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"openai.api_key = data[\\\"API_KEY\\\"]\"],\"execution_count\":4,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"N3sAHxJrhBzK\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471367430,\"user_tz\":-330,\"elapsed\":1044,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"from gpt import GPT\\n\",\"from gpt import Example\"],\"execution_count\":5,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"XiV0D9PihB2N\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471538287,\"user_tz\":-330,\"elapsed\":1248,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt = GPT(engine=\\\"davinci\\\",\\n\",\" temperature=0.5,\\n\",\" max_tokens=100)\"],\"execution_count\":6,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"WwVcHYMOvGiU\",\"colab_type\":\"text\"},\"source\":[\"# Adding Examples for GPT Model\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"0iLR1Y6YqTh7\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471715638,\"user_tz\":-330,\"elapsed\":1343,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example('Fetch unique values of DEPARTMENT from Worker table.', \\n\",\" 'Select distinct DEPARTMENT from Worker;'))\"],\"execution_count\":7,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"x28YlU1-qrCW\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471721203,\"user_tz\":-330,\"elapsed\":1433,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example('Print the first three characters of FIRST_NAME from Worker table.', \\n\",\" 'Select substring(FIRST_NAME,1,3) from Worker;'))\"],\"execution_count\":8,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"1C10LyYPqrFX\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471721205,\"user_tz\":-330,\"elapsed\":883,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example(\\\"Find the position of the alphabet ('a') in the first name column 'Amitabh' from Worker table.\\\", \\n\",\" \\\"Select INSTR(FIRST_NAME, BINARY'a') from Worker where FIRST_NAME = 'Amitabh';\\\"))\"],\"execution_count\":9,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"0JvjODWbsBWP\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471723625,\"user_tz\":-330,\"elapsed\":964,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example(\\\"Print the FIRST_NAME from Worker table after replacing 'a' with 'A'.\\\", \\n\",\" \\\"Select CONCAT(FIRST_NAME, ' ', LAST_NAME) AS 'COMPLETE_NAME' from Worker;\\\"))\"],\"execution_count\":10,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"uNsH4OeqsKjM\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471760833,\"user_tz\":-330,\"elapsed\":958,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example(\\\"Display the second highest salary from the Worker table.\\\", \\n\",\" \\\"Select max(Salary) from Worker where Salary not in (Select max(Salary) from Worker);\\\"))\"],\"execution_count\":11,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"zhXh5g-jsKnl\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471795232,\"user_tz\":-330,\"elapsed\":1075,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example(\\\"Display the highest salary from the Worker table.\\\", \\n\",\" \\\"Select max(Salary) from Worker;\\\"))\"],\"execution_count\":12,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"wWjmZe-Ntexm\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471796602,\"user_tz\":-330,\"elapsed\":882,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example(\\\"Fetch the count of employees working in the department Admin.\\\", \\n\",\" \\\"SELECT COUNT(*) FROM worker WHERE DEPARTMENT = 'Admin';\\\"))\"],\"execution_count\":13,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Q9xuF--Kt_xh\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471799951,\"user_tz\":-330,\"elapsed\":1149,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example(\\\"Get all details of the Workers whose SALARY lies between 100000 and 500000.\\\", \\n\",\" \\\"Select * from Worker where SALARY between 100000 and 500000;\\\"))\"],\"execution_count\":14,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"z5jRwDCcuauE\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471800475,\"user_tz\":-330,\"elapsed\":786,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"gpt.add_example(Example(\\\"Get Salary details of the Workers\\\", \\n\",\" \\\"Select Salary from Worker\\\"))\"],\"execution_count\":15,\"outputs\":[]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"3mI7FmwSu9AA\",\"colab_type\":\"text\"},\"source\":[\"# Example 1\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"sWSmXABfrdTm\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471857682,\"user_tz\":-330,\"elapsed\":1211,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"prompt = \\\"Display the lowest salary from the Worker table.\\\"\"],\"execution_count\":16,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"pVzvJtmRqTku\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471890838,\"user_tz\":-330,\"elapsed\":2494,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"output = gpt.submit_request(prompt)\"],\"execution_count\":17,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"niqyIPAyoLQb\",\"colab_type\":\"code\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":35},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471926542,\"user_tz\":-330,\"elapsed\":1366,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}},\"outputId\":\"853cd2a0-ec4e-4454-90b8-cb8be70b0d4f\"},\"source\":[\"output.choices[0].text\"],\"execution_count\":19,\"outputs\":[{\"output_type\":\"execute_result\",\"data\":{\"application/vnd.google.colaboratory.intrinsic+json\":{\"type\":\"string\"},\"text/plain\":[\"'output: Select min(Salary) from Worker;\\\\n'\"]},\"metadata\":{\"tags\":[]},\"execution_count\":19}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"LA3DyhGJu_8o\",\"colab_type\":\"text\"},\"source\":[\"# Example 2\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"_OdI6bFLtpel\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595471994566,\"user_tz\":-330,\"elapsed\":1325,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"prompt = \\\"Tell me the count of employees working in the department HR.\\\"\"],\"execution_count\":20,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"XnjQ0kfbtpkE\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595472001159,\"user_tz\":-330,\"elapsed\":2828,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"output = gpt.submit_request(prompt)\"],\"execution_count\":21,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"Z9Yo-bZotph4\",\"colab_type\":\"code\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":35},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595472005315,\"user_tz\":-330,\"elapsed\":1008,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}},\"outputId\":\"0e1572e6-bceb-42c8-d67f-4f29a156745c\"},\"source\":[\"output.choices[0].text\"],\"execution_count\":22,\"outputs\":[{\"output_type\":\"execute_result\",\"data\":{\"application/vnd.google.colaboratory.intrinsic+json\":{\"type\":\"string\"},\"text/plain\":[\"\\\"output: SELECT COUNT(*) FROM worker WHERE DEPARTMENT = 'HR';\\\\n\\\"\"]},\"metadata\":{\"tags\":[]},\"execution_count\":22}]},{\"cell_type\":\"markdown\",\"metadata\":{\"id\":\"dnB7TCA_vCkF\",\"colab_type\":\"text\"},\"source\":[\"# Example 3\"]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"GkaHZLIzt3pQ\",\"colab_type\":\"code\",\"colab\":{},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595472072925,\"user_tz\":-330,\"elapsed\":946,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}}},\"source\":[\"prompt = \\\"Get salary details of the Workers whose AGE lies between 25 and 35\\\"\"],\"execution_count\":23,\"outputs\":[]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"G6GmvbukmLCK\",\"colab_type\":\"code\",\"colab\":{\"base_uri\":\"https://localhost:8080/\",\"height\":51},\"executionInfo\":{\"status\":\"ok\",\"timestamp\":1595472104996,\"user_tz\":-330,\"elapsed\":3152,\"user\":{\"displayName\":\"Bhavesh Bhatt\",\"photoUrl\":\"https://lh3.googleusercontent.com/a-/AOh14Ggn1iyaPhugkkpQYFRw42nt9ToNB-Rit7YeWtI4Zw=s64\",\"userId\":\"01561702845917398436\"}},\"outputId\":\"21c8f471-b272-47ed-dd18-36c94fbf6936\"},\"source\":[\"print(gpt.get_top_reply(prompt))\"],\"execution_count\":24,\"outputs\":[{\"output_type\":\"stream\",\"text\":[\"output: Select Salary from Worker where AGE between 25 and 35;\\n\",\"\\n\"],\"name\":\"stdout\"}]},{\"cell_type\":\"code\",\"metadata\":{\"id\":\"0ZaLCw6zgqxh\",\"colab_type\":\"code\",\"colab\":{}},\"source\":[\"\"],\"execution_count\":null,\"outputs\":[]}]}"
},
{
"path": "gpt-pandas-code-generation.ipynb",
"content": "{\n \"nbformat\": 4,\n \"nbformat_minor\": 0,\n \"metadata\": {\n \"colab\": {\n \"name\": \"GPT-3-Pandas-Code.ipynb\",\n \"provenance\": [],\n \"collapsed_sections\": []\n },\n \"kernelspec\": {\n \"name\": \"python3\",\n \"display_name\": \"Python 3\"\n }\n },\n \"cells\": [\n {\n \"cell_type\": \"code\",\n \"metadata\": {\n \"id\": \"heIf5_ducY8T\",\n \"colab_type\": \"code\",\n \"colab\": {\n \"base_uri\": \"https://localhost:8080/\",\n \"height\": 297\n },\n \"outputId\": \"fe2165bc-0b43-4a1b-a9b2-a755ae1d2cd8\"\n },\n \"source\": [\n \"!pip install openai\"\n ],\n \"execution_count\": 1,\n \"outputs\": [\n {\n \"output_type\": \"stream\",\n \"text\": [\n \"Collecting openai\\n\",\n \"\\u001b[?25l Downloading https://files.pythonhosted.org/packages/a8/65/c7461f4c87984534683f480ea5742777bc39bbf5721123194c2d0347dc1f/openai-0.2.4.tar.gz (157kB)\\n\",\n \"\\u001b[K |████████████████████████████████| 163kB 2.7MB/s \\n\",\n \"\\u001b[?25hRequirement already satisfied: requests>=2.20 in /usr/local/lib/python3.6/dist-packages (from openai) (2.23.0)\\n\",\n \"Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (2020.6.20)\\n\",\n \"Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (3.0.4)\\n\",\n \"Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (2.10)\\n\",\n \"Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests>=2.20->openai) (1.24.3)\\n\",\n \"Building wheels for collected packages: openai\\n\",\n \" Building wheel for openai (setup.py) ... \\u001b[?25l\\u001b[?25hdone\\n\",\n \" Created wheel for openai: filename=openai-0.2.4-cp36-none-any.whl size=170709 sha256=3821b7d0954e25e78fcdb4a7718777dcdfa08c7ed830290c2c299c0dae9d8ee6\\n\",\n \" Stored in directory: /root/.cache/pip/wheels/74/96/c8/c6e170929c276b836613e1b9985343b501fe455e53d85e7d48\\n\",\n \"Successfully built openai\\n\",\n \"Installing collected packages: openai\\n\",\n \"Successfully installed openai-0.2.4\\n\"\n ],\n \"name\": \"stdout\"\n }\n ]\n },\n {\n \"cell_type\": \"code\",\n \"metadata\": {\n \"id\": \"JIObOT-ybumY\",\n \"colab_type\": \"code\",\n \"colab\": {}\n },\n \"source\": [\n \"import json\\n\",\n \"import openai\\n\",\n \"import numpy as np\\n\",\n \"import pandas as pd\"\n ],\n \"execution_count\": 2,\n \"outputs\": []\n },\n {\n \"cell_type\": \"code\",\n \"metadata\": {\n \"id\": \"m42z9jQxqA2b\",\n \"colab_type\": \"code\",\n \"colab\": {}\n },\n \"source\": [\n \"with open('GPT_SECRET_KEY.json') as f:\\n\",\n \" data = json.load(f)\"\n ],\n \"execution_count\": 3,\n \"outputs\": []\n },\n {\n \"cell_type\": \"code\",\n \"metadata\": {\n \"id\": \"75Yg2gB7p3Q0\",\n \"colab_type\": \"code\",\n \"colab\": {}\n },\n \"source\": [\n \"openai.api_key = data[\\\"API_KEY\\\"]\"\n ],\n \"execution_count\": 4,\n \"outputs\": []\n },\n {\n \"cell_type\": \"code\",\n \"metadata\": {\n \"id\": \"N3sAHxJrhBzK\",\n \"colab_type\": \"code\",\n \"colab\": {}\n },\n \"source\": [\n \"from gpt import GPT\\n\",\n \"from gpt import Example\"\n ],\n \"execution_count\": 5,\n \"outputs\": []\n },\n {\n \"cell_type\": \"code\",\n \"metadata\": {\n \"id\": \"XiV0D9PihB2N\",\n \"colab_type\": \"code\",\n \"colab\": {}\n },\n \"source\": [\n \"gpt = GPT(engine=\\\"davinci\\\",\\n\",\n \" temperature=0.5,\\n\",\n \" max_tokens=100)\"\n ],\n \"execution_count\": 6,\n \"outputs\": []\n },\n {\n \"cell_type\": \"code\",\n \"metadata\": {\n \"id\": \"6qLap8Xgvwjt\",\n \"colab_type\": \"code\",\n \"colab\": {}\n },\n \"source\": [\n \"df = pd.DataFrame({\\\"Gender\\\": [\\\"boy\\\", \\\"boy\\\", \\\"boy\\\", \\\"boy\\\", \\\"boy\\\",\\n\",\n \" \\\"girl\\\", \\\"girl\\\", \\\"girl\\\", \\\"girl\\\"],\\n\",\n \" \\\"Division\\\": [\\\"one\\\", \\\"one\\\", \\\"one\\\", \\\"two\\\", \\\"two\\\",\\n\",\n \" \\\"one\\\", \\\"one\\\", \\\"two\\\", \\\"two\\\"],\\n\",\n \" \\\"Marks\\\": [50, 55, 67, 85, 44, 84, 65, 56, 87]})\"\n ],\n \"execution_count\": 7,\n \"outputs\": []\n },\n {\n \"cell_type\": \"code\",\n \"metadata\": {\n \"id\": \"JGQIWZO-AazG\",\n \"colab_type\": \"code\",\n \"colab\": {\n \"base_uri\": \"https://localhost:8080/\",\n \"height\": 324\n },\n \"outputId\": \"744be30f-e298-44b9-edf2-02379817d368\"\n },\n \"source\": [\n \"df\"\n ],\n \"execution_count\": 8,\n \"outputs\": [\n {\n \"output_type\": \"execute_result\",\n \"data\": {\n \"text/html\": [\n \"
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