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{ | ||
"nbformat": 4, | ||
"nbformat_minor": 0, | ||
"metadata": { | ||
"colab": { | ||
"provenance": [] | ||
}, | ||
"kernelspec": { | ||
"name": "python3", | ||
"display_name": "Python 3" | ||
}, | ||
"language_info": { | ||
"name": "python" | ||
} | ||
}, | ||
"cells": [ | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"##### Copyright 2024 Google LLC." | ||
], | ||
"metadata": { | ||
"id": "LweKUTqZUn4z" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"# @title Licensed under the Apache License, Version 2.0 (the \"License\");\n", | ||
"# you may not use this file except in compliance with the License.\n", | ||
"# You may obtain a copy of the License at\n", | ||
"#\n", | ||
"# https://www.apache.org/licenses/LICENSE-2.0\n", | ||
"#\n", | ||
"# Unless required by applicable law or agreed to in writing, software\n", | ||
"# distributed under the License is distributed on an \"AS IS\" BASIS,\n", | ||
"# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n", | ||
"# See the License for the specific language governing permissions and\n", | ||
"# limitations under the License." | ||
], | ||
"metadata": { | ||
"id": "vQoUR__bUlfj" | ||
}, | ||
"execution_count": null, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"# Gemini API: Basic code generation\n", | ||
"\n", | ||
"This notebook demonstrates how to use prompting to perform basic code generation using the Gemini API's Python SDK. Two use cases are explored: error handling and code generation." | ||
], | ||
"metadata": { | ||
"id": "sP8PQnz1QrcF" | ||
} | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"<table class=\"tfo-notebook-buttons\" align=\"left\">\n", | ||
" <td>\n", | ||
" <a target=\"_blank\" href=\"https://colab.research.google.com/github/google-gemini/cookbook/blob/main/examples/prompting/Basic_Code_Generation.ipynb\"><img src = \"https://www.tensorflow.org/images/colab_logo_32px.png\"/>Run in Google Colab</a>\n", | ||
" </td>\n", | ||
"</table>" | ||
], | ||
"metadata": { | ||
"id": "bxGr_x3MRA0z" | ||
} | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"The Gemini API can be a great tool to save you time during the development process. Tasks such as code generation, debugging, or optimization can be done with the assistance of the Gemini model." | ||
], | ||
"metadata": { | ||
"id": "ysy--KfNRrCq" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"!pip install -U -q google-generativeai" | ||
], | ||
"metadata": { | ||
"id": "Ne-3gnXqR0hI" | ||
}, | ||
"execution_count": 1, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": 2, | ||
"metadata": { | ||
"id": "EconMHePQHGw" | ||
}, | ||
"outputs": [], | ||
"source": [ | ||
"import google.generativeai as genai\n", | ||
"\n", | ||
"from IPython.display import Markdown" | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## Configure your API key\n", | ||
"\n", | ||
"To run the following cell, your API key must be stored it in a Colab Secret named `GOOGLE_API_KEY`. If you don't already have an API key, or you're not sure how to create a Colab Secret, see [Authentication](https://github.com/google-gemini/cookbook/blob/main/quickstarts/Authentication.ipynb) for an example." | ||
], | ||
"metadata": { | ||
"id": "eomJzCa6lb90" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"from google.colab import userdata\n", | ||
"GOOGLE_API_KEY=userdata.get('GOOGLE_API_KEY')\n", | ||
"\n", | ||
"genai.configure(api_key=GOOGLE_API_KEY)" | ||
], | ||
"metadata": { | ||
"id": "v-JZzORUpVR2" | ||
}, | ||
"execution_count": 3, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## Examples" | ||
], | ||
"metadata": { | ||
"id": "yQnqEPjephXi" | ||
} | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"### Error handling" | ||
], | ||
"metadata": { | ||
"id": "bR-OOcC6pIm5" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"error_handling_system_prompt =f\"\"\"\n", | ||
"Your task is to explain exactly why this error occurred and how to fix it.\n", | ||
"\"\"\"\n", | ||
"error_handling_model = genai.GenerativeModel(model_name='gemini-1.5-flash-latest', generation_config={\"temperature\": 0},\n", | ||
" system_instruction=error_handling_system_prompt)" | ||
], | ||
"metadata": { | ||
"id": "kVF8ZQ38Vs1P" | ||
}, | ||
"execution_count": 4, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"error_message = \"\"\"\n", | ||
" 1 my_list = [1,2,3]\n", | ||
"----> 2 print(my_list[3])\n", | ||
"\n", | ||
"IndexError: list index out of range\n", | ||
"\"\"\"\n", | ||
"\n", | ||
"error_prompt = f\"\"\"\n", | ||
"You've encountered the following error message:\n", | ||
"Error Message: {error_message}\"\"\"\n", | ||
"\n", | ||
"Markdown(error_handling_model.generate_content(error_prompt).text)" | ||
], | ||
"metadata": { | ||
"colab": { | ||
"base_uri": "https://localhost:8080/", | ||
"height": 313 | ||
}, | ||
"id": "CHTdAVE0pIFf", | ||
"outputId": "fc459383-b51d-47b2-c315-d28736e0b733" | ||
}, | ||
"execution_count": 5, | ||
"outputs": [ | ||
{ | ||
"output_type": "execute_result", | ||
"data": { | ||
"text/plain": [ | ||
"<IPython.core.display.Markdown object>" | ||
], | ||
"text/markdown": "The error message \"IndexError: list index out of range\" means you're trying to access an element in a list using an index that doesn't exist.\n\n**Explanation:**\n\n* **List Indexing:** In Python, lists are zero-indexed. This means the first element has an index of 0, the second element has an index of 1, and so on.\n* **Your Code:** In your code, `my_list = [1, 2, 3]` has three elements. The valid indices for this list are 0, 1, and 2.\n* **The Error:** You're trying to access `my_list[3]`. Since the list only has three elements, there is no element at index 3. This causes the \"IndexError: list index out of range\" error.\n\n**How to Fix It:**\n\n1. **Check the Index:** Ensure the index you're using is within the valid range of the list. In this case, you should use an index between 0 and 2.\n2. **Adjust the Code:** To access the last element of the list, use `my_list[2]`.\n\n**Corrected Code:**\n\n```python\nmy_list = [1, 2, 3]\nprint(my_list[2]) # This will print 3\n```\n\n**Important Note:** Always be mindful of the size of your lists and the indices you use to avoid this common error. \n" | ||
}, | ||
"metadata": {}, | ||
"execution_count": 5 | ||
} | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"### Code generation" | ||
], | ||
"metadata": { | ||
"id": "kTDi8WyDqQRf" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"code_generation_system_prompt = f\"\"\"\n", | ||
"You are a coding assistant. Your task is to generate a code snippet that accomplishes a specific goal.\n", | ||
"The code snippet must be concise, efficient, and well-commented for clarity.\n", | ||
"Consider any constraints or requirements provided for the task.\n", | ||
"\n", | ||
"If the task does not specify a programming language, default to Python.\n", | ||
"\"\"\"\n", | ||
"code_generation_model = genai.GenerativeModel(model_name='gemini-1.5-flash-latest', generation_config={\"temperature\": 0},\n", | ||
" system_instruction=code_generation_system_prompt)" | ||
], | ||
"metadata": { | ||
"id": "1T1QSzjVVvE_" | ||
}, | ||
"execution_count": 6, | ||
"outputs": [] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"code_generation_prompt = 'Create a countdown timer that ticks down every second and prints \"Time is up!\" after 20 seconds'\n", | ||
"\n", | ||
"Markdown(code_generation_model.generate_content(code_generation_prompt).text)" | ||
], | ||
"metadata": { | ||
"colab": { | ||
"base_uri": "https://localhost:8080/", | ||
"height": 225 | ||
}, | ||
"id": "8KVpzExDqRj2", | ||
"outputId": "8e45b5cb-3e8f-423c-d448-32903413977f" | ||
}, | ||
"execution_count": 7, | ||
"outputs": [ | ||
{ | ||
"output_type": "execute_result", | ||
"data": { | ||
"text/plain": [ | ||
"<IPython.core.display.Markdown object>" | ||
], | ||
"text/markdown": "```python\nimport time\n\n# Set the countdown duration in seconds\ncountdown_duration = 20\n\n# Start the countdown\nfor i in range(countdown_duration, 0, -1):\n print(i, end=\" \")\n time.sleep(1) # Wait for 1 second\n\n# Print \"Time is up!\" after the countdown\nprint(\"Time is up!\")\n```" | ||
}, | ||
"metadata": {}, | ||
"execution_count": 7 | ||
} | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"Let's check if generated code works." | ||
], | ||
"metadata": { | ||
"id": "Z7X6pSdOMyvS" | ||
} | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"source": [ | ||
"import time\n", | ||
"\n", | ||
"# Set the countdown duration in seconds\n", | ||
"countdown_duration = 20\n", | ||
"\n", | ||
"# Start the countdown\n", | ||
"for i in range(countdown_duration, 0, -1):\n", | ||
" print(i, end=\" \")\n", | ||
" time.sleep(1) # Wait for 1 second\n", | ||
"\n", | ||
"# Print \"Time is up!\" after the countdown\n", | ||
"print(\"Time is up!\")" | ||
], | ||
"metadata": { | ||
"colab": { | ||
"base_uri": "https://localhost:8080/" | ||
}, | ||
"id": "lOU_abTPSmZu", | ||
"outputId": "ee194082-f25d-4706-90d0-6d88346fa01d" | ||
}, | ||
"execution_count": 8, | ||
"outputs": [ | ||
{ | ||
"output_type": "stream", | ||
"name": "stdout", | ||
"text": [ | ||
"20 19 18 17 16 15 14 13 12 11 10 9 8 7 6 5 4 3 2 1 Time is up!\n" | ||
] | ||
} | ||
] | ||
}, | ||
{ | ||
"cell_type": "markdown", | ||
"source": [ | ||
"## Next steps\n", | ||
"\n", | ||
"Be sure to explore other examples of prompting in the repository. Try writing prompts around your own code as well using the examples in this notebook." | ||
], | ||
"metadata": { | ||
"id": "AiGF8I290YzL" | ||
} | ||
} | ||
] | ||
} |