[
{
"path": ".gitignore",
"content": "# Miscellaneous\n*.class\n*.log\n*.pyc\n*.swp\n.DS_Store\n.atom/\n.buildlog/\n.history\n.svn/\nmigrate_working_dir/\n\n# IntelliJ related\n*.iml\n*.ipr\n*.iws\n.idea/\n\n*.env\n\n# The .vscode folder contains launch configuration and tasks you configure in\n# VS Code which you may wish to be included in version control, so this line\n# is commented out by default.\n#.vscode/\n\n# Flutter/Dart/Pub related\n# Libraries should not include pubspec.lock, per https://dart.dev/guides/libraries/private-files#pubspeclock.\n/pubspec.lock\n**/doc/api/\n.dart_tool/\n.packages\nbuild/\n"
},
{
"path": ".metadata",
"content": "# This file tracks properties of this Flutter project.\n# Used by Flutter tool to assess capabilities and perform upgrades etc.\n#\n# This file should be version controlled and should not be manually edited.\n\nversion:\n revision: \"2f708eb8396e362e280fac22cf171c2cb467343c\"\n channel: \"stable\"\n\nproject_type: package\n"
},
{
"path": "CHANGELOG.md",
"content": "# 3.0.0\n* ## new Feature\n1. Now you can use this package as a **dart** pkg.\n2. prompt\n3. promptStream\n\n## 2.0.5\n* ## Fixed\n* `gemini-pro-vision` is depreciated, changed to `gemini-1.5-flash`\n\n## 2.0.4-dev.1\n* ## new feature\n* reInitialize\n* add mime type from Uint8List\n\n## 2.0.3\n* ## new feature\n* GeminiException( message , statusCode)\n\n## 2.0.1\n* ## new feature\n* Decode utf-8\n* streamChat\n\n## 2.0.0\n* work for lower Dart SDK version\n\n## 2.0.0-dev-1\n\n* ## Add new crucial features\n* ##### streamGenerateContent\n* The model usually gives a response once it finishes generating the entire output. To speed up interactions, you can opt not to wait for the complete result and instead use streaming to manage partial results.\n* ##### batchEmbedContents\n* ##### embedContent\n* Embedding is a method that transforms information, like text, into a list of floating-point numbers in an array. Gemini enables the representation of text, such as words or sentences, in a vectorized form. This facilitates the comparison of embeddings, allowing for the identification of similarities between texts through mathematical techniques like cosine similarity. For instance, texts with similar subject matter or sentiment should exhibit similar embeddings.\n* ## Updates\n* #### textAndImage\n* Convert the image property to the `images`\n```diff\n- image: file.readAsBytesSync(), /// image\n+ images: [file.readAsBytesSync()] /// list of images\n```\n\n## 1.0.1\n\n* update pubspec\n\n## 1.0.0\n\n* first publish\n"
},
{
"path": "LICENSE",
"content": "BSD 3-Clause License\n\nCopyright (c) 2023, Babak Gahremanzadeh (BabakCode)\n\nRedistribution and use in source and binary forms, with or without\nmodification, are permitted provided that the following conditions are met:\n\n1. Redistributions of source code must retain the above copyright notice, this\n list of conditions and the following disclaimer.\n\n2. Redistributions in binary form must reproduce the above copyright notice,\n this list of conditions and the following disclaimer in the documentation\n and/or other materials provided with the distribution.\n\n3. Neither the name of the copyright holder nor the names of its\n contributors may be used to endorse or promote products derived from\n this software without specific prior written permission.\n\nTHIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\nAND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\nIMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\nDISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE\nFOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL\nDAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR\nSERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER\nCAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,\nOR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE\nOF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE."
},
{
"path": "README.md",
"content": "# Flutter Gemini\n\nGoogle Gemini is a set of cutting-edge large language models (LLMs) designed to be the driving force behind Google's future AI initiatives.\n\n\n\nThis package provides a powerful bridge between your Flutter application and Google's revolutionary Gemini AI. It empowers you to seamlessly integrate Gemini's capabilities into your app, unlocking possibilities for building innovative, intelligent, and engaging experiences that redefine user interaction.\n\n## Features\n\n- Set up your API key [scroll](#getting-started)\n- Initialize Gemini [scroll](#initialize-gemini)\n- Content-based APIs [scroll](#content-based-apis)\n - promptStream [scroll](#prompt-stream)\n - prompt [scroll](#prompt)\n - Multi-turn conversations (chat) [scroll](#multi-turn-conversations-chat)\n - Count tokens [scroll](#count-tokens)\n - Model info [scroll](#model-info)\n - List models [scroll](#list-models)\n - EmbedContents and batchEmbedContents [scroll](#embedcontents-and-batchembedcontents)\n- Advanced Usage [scroll](#advanced-usage)\n - Safety settings [scroll](#safety-settings)\n - Generation configuration [scroll](#generation-configuration)\n- Legacy APIs [scroll](#legacy-apis)\n - Stream Generate Content [scroll](#stream-generate-content)\n - Text-only input [scroll](#text-only-input)\n - Text-and-image input [scroll](#text-and-image-input)\n \n\n## Getting started\n\nTo use the Gemini API, you'll need an API key. If you don't already have one, create a key in Google AI Studio. [Get an API key](https://ai.google.dev/).\n\n[//]: # (### online demo)\n\n[//]: # ()\n[//]: # ([https://babakcode.github.io/flutter_gemini](https://babakcode.github.io/flutter_gemini))\n\n## Initialize Gemini\n\nFor initialization, you must call the init constructor for Flutter Gemini in the main function.\n\n```dart\nconst apiKey = '--- Your Gemini Api Key ---';\n\nvoid main() {\n\n /// Add this line\n Gemini.init(apiKey: apiKey);\n\n runApp(const MyApp());\n}\n```\n\nNow you can create an instance\n\n## Content-based APIs\n\n### Prompt Stream\n\nOffers a powerful method `promptStream` that allows developers to interact with\na stream of data in a flexible and efficient way. One of the key features of this package is\nthe ability to use different types of `Part` classes,\nenabling the transmission of various forms of data.\n\n**Usage Example**\nTo use the promptStream method, you can pass an array of Part objects, where each Part can represent different types of data. For instance, a simple request to ask a question could look like this:\n\n```dart\nGemini.instance.promptStream(parts: [\n Part.text('Write a story about a magic backpack'),\n]).listen((value) {\n print(value?.output);\n});\n```\n\n#### Available Part Types\n\n1. `Part.text` | `TextPart`: For sending text data.\n2. `Part.inline` | `InlinePart`: For sending raw byte data.\n3. `Part.file` | `FilePart`: For sending uploaded file to Gemini cloud ( will be updated )\n4. ...\n5. ( Others will be added ASAP )\n\nThese `Part` types are abstracted into a base class, providing flexibility to add more data types in the future. This modular design ensures that users can easily extend the package to accommodate their specific needs, whether it's for text, files, or binary data.\n\nBy using these different `Part` classes, you can tailor the behavior of the `promptStream` method to meet your application's specific requirements.\n\n### Prompt\n\nYou can send a question or request and get an immediate response using the `prompt` method. This method works with various `Part` types to allow flexible input, such as text, videos, or audios.\n\n**Usage Example**\n\nThe following example shows how to use the `Flutter_Gemini` package with the `Future` approach to send a text request and handle the response:\n\n```dart\nGemini.instance.prompt(parts: [\n Part.text('Write a story about a magic backpack'),\n]).then((value) {\n print(value?.output);\n}).catchError((e) {\n print('error ${e}');\n});\n```\n\n*Explanation*:\n\n* The `prompt` method takes a list of `Part` objects, such as `Part.text` ( `TextPart` ), to define the request.\n* The response is processed once it is available, and you can access the result via value?.output.\n* Errors can be handled using catchError.\n\n\nThis method provides a straightforward way to handle asynchronous tasks without dealing with streams.\n\n#### Multi-turn conversations (chat)\n\nUsing Gemini, you can build freeform conversations across multiple turns.\n\n```dart\n final gemini = Gemini.instance;\n\n gemini.chat([\n Content(parts: [\n Part.text('Write the first line of a story about a magic backpack.')],\n role: 'user'),\n Content(parts: [ \n Part.text('In the bustling city of Meadow brook, lived a young girl named Sophie. She was a bright and curious soul with an imaginative mind.')],\n role: 'model'),\n Content(parts: [ \n Part.text('Can you set it in a quiet village in 1600s France?')], \n role: 'user'),\n ])\n .then((value) => log(value?.output ?? 'without output'))\n .catchError((e) => log('chat', error: e));\n```\n\n\n![Flutter gemini Text and Image example gif](https://miro.medium.com/v2/resize:fit:828/format:webp/1*MoVz4Z5KpxVUocEHLmzDew.gif \"Flutter_Gemini example\")\n\n\n#### Count tokens\n\nWhen using long prompts, it might be useful to count tokens before sending any content to the model.\n\n```dart\nfinal gemini = Gemini.instance;\n\ngemini.countTokens(\"Write a story about a magic backpack.\")\n .then((value) => print(value)) /// output like: `6` or `null`\n .catchError((e) => log('countTokens', error: e));\n```\n\n#### Model info\n\nIf you `GET` a model's URL, the API uses the `get` method to return information about that model such as version, display name, input token limit, etc.\n\n```dart\nfinal gemini = Gemini.instance;\n\ngemini.info(model: 'gemini-pro')\n .then((info) => print(info))\n .catchError((e) => log('info', error: e));\n```\n\n#### List models\n\nIf you `GET` the `models` directory, it uses the `list` method to list all of the models available through the API, including both the Gemini and PaLM family models.\n\n```dart\nfinal gemini = Gemini.instance;\n\ngemini.listModels()\n .then((models) => print(models)) /// list\n .catchError((e) => log('listModels', error: e));\n```\n\n#### embedContents and batchEmbedContents\n\nEmbedding is a method that transforms information, like text, into a list of floating-point numbers in an array. Gemini enables the representation of text, such as words or sentences, in a vectorized form. This facilitates the comparison of embeddings, allowing for the identification of similarities between texts through mathematical techniques like cosine similarity. For instance, texts with similar subject matter or sentiment should exhibit similar embeddings.\n\n```dart\n/// `embedContents`\ngemini.embedContent('text').then((value) {\n print(value); /// output like: [ 1.3231, 1.33421, -0.123123 ]\n});\n\n/// `batchEmbedContents`\ngemini.batchEmbedContents(['text 1', 'text 2']).then((value) {\n print(value); /// output like: [ [ 1.3231, 1.33421, -0.123123 ] ]\n});\n```\n\n## Advanced Usage\n\nThe following sections discuss advanced use cases and lower-level details of the Flutter SDK for the Gemini API.\n\n#### Safety settings\n\nThe `safety_settings` argument lets you configure what the model blocks and allows in both prompts and responses.\n\n```dart\ngemini.streamGenerateContent('Utilizing Google Ads in Flutter',\n safetySettings: [\n SafetySetting(\n category: SafetyCategory.harassment,\n threshold: SafetyThreshold.blockLowAndAbove,\n ),\n SafetySetting(\n category: SafetyCategory.hateSpeech,\n threshold: SafetyThreshold.blockOnlyHigh,\n )\n ])\n .listen((value) {})\n .onError((e) {});\n```\n\n#### Generation configuration\n\nThe `generation_config` argument allows you to modify the generation parameters.\n\n```dart\ngemini.streamGenerateContent('Utilizing Google Ads in Flutter',\n generationConfig: GenerationConfig(\n temperature: 0.75,\n maxOutputTokens: 512,\n ))\n .listen((value) {})\n .onError((e) {});\n```\n\n## Legacy APIs\n\n\n#### Stream Generate Content\n\nThe model usually gives a response once it finishes generating the entire output. To speed up interactions, you can opt not to wait for the complete result and instead use streaming to manage partial results.\n\n```dart\nfinal gemini = Gemini.instance;\n\ngemini.streamGenerateContent('Utilizing Google Ads in Flutter')\n .listen((value) {\n print(value.output);\n }).onError((e) {\n log('streamGenerateContent exception', error: e);\n });\n```\n\n\n\n#### Text-only input\n\nThis feature lets you perform natural language processing (NLP) tasks such as text completion and summarization.\n\n```dart\nfinal gemini = Gemini.instance;\n\ngemini.text(\"Write a story about a magic backpack.\")\n .then((value) => print( value?.output )) /// or value?.content?.parts?.last.text\n .catchError((e) => print(e));\n```\n\n![Flutter gemini Text only example gif](https://miro.medium.com/v2/resize:fit:828/format:webp/1*41dnttHItU2v4hobJ_DGSA.gif \"Flutter_Gemini example\")\n\n#### Text-and-image input\n\nIf the input contains both text and image, You can send a text prompt with an image to the gemini-1.5-flash model to perform a vision-related task. For example, captioning an image or identifying what's in an image.\n\n```dart\n final gemini = Gemini.instance;\n\n final file = File('assets/img.png');\n gemini.textAndImage(\n text: \"What is this picture?\", /// text\n images: [file.readAsBytesSync()] /// list of images\n )\n .then((value) => log(value?.content?.parts?.last.text ?? ''))\n .catchError((e) => log('textAndImageInput', error: e));\n```\n\n###### Note that, there are changes on properties\n\n```diff\n- image: file.readAsBytesSync(), /// image\n+ images: [file.readAsBytesSync()] /// list of images\n```\n\n![Flutter gemini Text and Image example gif](https://miro.medium.com/v2/resize:fit:828/format:webp/1*3JEeJaBRSpif6hOl2pt3RA.gif \"Flutter_Gemini example\")\n"
},
{
"path": "analysis_options.yaml",
"content": "include: package:flutter_lints/flutter.yaml\n\n# Additional information about this file can be found at\n# https://dart.dev/guides/language/analysis-options\nanalyzer:\n errors:\n invalid_annotation_target: ignore"
},
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"path": "assets/json_models/embeding_response.json",
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0.00033124414,\n 0.021639997,\n 0.036490552,\n 0.049734447,\n -0.036388244,\n 0.035966754,\n 0.036384758,\n 0.01848129,\n 0.01936548,\n 0.041110706,\n -0.020579007,\n 0.03972572,\n -0.059500527,\n 0.058483753,\n 0.02949643,\n -0.0026552908,\n 0.015136857,\n 0.013967699,\n -0.047753524,\n -0.02643546,\n 0.00045268517,\n -0.024045393,\n 0.010572156,\n 0.0115284445,\n 0.045276333,\n 0.01477278,\n -0.012260114,\n 0.0049116653,\n 0.0002624052,\n 0.0057428367,\n -0.0357892,\n 0.014131505,\n 0.017865967,\n 0.0018355078,\n 0.017066674,\n 0.019991226,\n 0.059018876,\n -0.04316734,\n -0.040495962,\n -0.04645116,\n -0.032155212,\n 0.006855629,\n -0.01709631,\n -0.023068072,\n 0.13071896,\n -0.0117750345,\n 0.006735388,\n -0.00428147,\n 0.05835659,\n 0.00323061,\n 0.064452596,\n 0.107658714,\n 0.0011278684,\n -0.047806296,\n -0.039015945,\n 0.08841898,\n 0.009109056,\n -0.021585098,\n 0.04587783,\n 0.0028700305,\n -0.061642382,\n -0.008301286,\n 0.0021765844,\n 0.025058622,\n 0.000866256,\n 0.09441375,\n 0.05135114,\n -0.08111412,\n -0.039409634,\n -0.008433235,\n -0.017753145,\n -0.007967181,\n -0.014075007,\n -0.035151333,\n -0.022514263,\n 0.013024374,\n -0.042462803,\n -0.021026863,\n 0.0010954188,\n -0.012990658,\n -0.038894013,\n 0.041165825,\n 0.021401018,\n -0.013273863,\n 0.023978205,\n 0.0076727653,\n -0.08208279,\n -0.07164294,\n -0.03766139,\n 0.05169556,\n -0.06807564,\n 0.06667905,\n 0.02647171,\n -0.050943747,\n 0.050514407,\n 0.022056088,\n 0.026697334,\n 0.030589454,\n 0.0309619,\n 0.055627897,\n -0.011226073,\n 0.018821767,\n 0.00032708142,\n 0.013927108,\n 0.013664332,\n 0.023148077,\n 0.050223388,\n 0.002209411,\n -0.024183843,\n 0.005419744,\n -0.009037187,\n -0.07152283,\n -0.067591585,\n 0.0018649322,\n 0.07864899,\n 0.007836,\n 0.015458517,\n 0.018746221,\n 0.031856768,\n 0.05003332,\n -0.015312568,\n 0.015148811,\n -0.023977624,\n -0.007860894,\n 0.03265328,\n -0.010761551,\n -0.0114624165,\n 0.022569085,\n 0.04449342,\n 0.0047867065,\n 0.03813074,\n -0.047339167,\n -0.010128946,\n 0.008987856,\n -0.011981707,\n -0.025890147,\n 0.014876134,\n 0.01246338,\n -0.030317992,\n 0.08323439,\n 0.050378542,\n 0.04279509,\n 0.047543395,\n -0.03934679,\n -0.009702485,\n 0.051246934,\n -0.0115570575,\n 0.025082037,\n 0.004921027,\n -0.037485305,\n 0.0345109,\n -0.017609224,\n -0.017225614,\n 0.07838392,\n -0.05333895,\n 0.035091214,\n -0.007425883,\n 0.028943896,\n -0.012226034,\n -0.0077764336,\n -0.07593833,\n 0.01470122,\n -0.0043923827,\n 0.07346178,\n 0.053343177,\n -0.064307295,\n 0.029436173,\n -0.033383552,\n -0.04565939,\n 0.0098429825,\n -0.08035119,\n 0.03681359,\n 0.062023964,\n -0.006151363,\n 0.048899304,\n -0.030419897,\n -0.01569126,\n 0.019181883,\n 0.0032262106,\n 0.042655054,\n -0.00029345634,\n 0.017023923,\n 0.011658963,\n 0.0047185197,\n -0.005198279,\n -0.024262719,\n 0.030491523,\n 0.027719762\n ]\n }\n ]\n}"
},
{
"path": "assets/json_models/gemini_model.json",
"content": "[\n {\n \"name\": \"models/chat-bison-001\",\n \"version\": \"001\",\n \"displayName\": \"Chat Bison\",\n \"description\": \"Chat-optimized generative language model.\",\n \"inputTokenLimit\": 4096,\n \"outputTokenLimit\": 1024,\n \"supportedGenerationMethods\": [\"generateMessage\", \"countMessageTokens\"],\n \"temperature\": 0.25,\n \"topP\": 0.95,\n \"topK\": 40\n },\n {\n \"name\": \"models/text-bison-001\",\n \"version\": \"001\",\n \"displayName\": \"Text Bison\",\n \"description\": \"Model targeted for text generation.\",\n \"inputTokenLimit\": 8196,\n \"outputTokenLimit\": 1024,\n \"supportedGenerationMethods\": [\n \"generateText\",\n \"countTextTokens\",\n \"createTunedTextModel\"\n ],\n \"temperature\": 0.7,\n \"topP\": 0.95,\n \"topK\": 40\n },\n {\n \"name\": \"models/embedding-gecko-001\",\n \"version\": \"001\",\n \"displayName\": \"Embedding Gecko\",\n \"description\": \"Obtain a distributed representation of a text.\",\n \"inputTokenLimit\": 1024,\n \"outputTokenLimit\": 1,\n \"supportedGenerationMethods\": [\"embedText\", \"countTextTokens\"]\n },\n {\n \"name\": \"models/embedding-gecko-002\",\n \"version\": \"002\",\n \"displayName\": \"Embedding Gecko 002\",\n \"description\": \"Obtain a distributed representation of a text.\",\n \"inputTokenLimit\": 2048,\n \"outputTokenLimit\": 1,\n \"supportedGenerationMethods\": [\"embedText\", \"countTextTokens\"]\n },\n {\n \"name\": \"models/gemini-pro\",\n \"version\": \"001\",\n \"displayName\": \"Gemini Pro\",\n \"description\": \"The best model for scaling across a wide range of tasks\",\n \"inputTokenLimit\": 30720,\n \"outputTokenLimit\": 2048,\n \"supportedGenerationMethods\": [\"generateContent\", \"countTokens\"],\n \"temperature\": 0.9,\n \"topP\": 1,\n \"topK\": 1\n },\n {\n \"name\": \"models/gemini-1.5-flash\",\n \"version\": \"001\",\n \"displayName\": \"Gemini Pro Vision\",\n \"description\":\n \"The best image understanding model to handle a broad range of applications\",\n \"inputTokenLimit\": 12288,\n \"outputTokenLimit\": 4096,\n \"supportedGenerationMethods\": [\"generateContent\", \"countTokens\"],\n \"temperature\": 0.4,\n \"topP\": 1,\n \"topK\": 32\n },\n {\n \"name\": \"models/gemini-ultra\",\n \"version\": \"001\",\n \"displayName\": \"Gemini Ultra\",\n \"description\": \"The most capable model for highly complex tasks\",\n \"inputTokenLimit\": 30720,\n \"outputTokenLimit\": 2048,\n \"supportedGenerationMethods\": [\"generateContent\", \"countTokens\"],\n \"temperature\": 0.9,\n \"topP\": 1,\n \"topK\": 32\n },\n {\n \"name\": \"models/embedding-001\",\n \"version\": \"001\",\n \"displayName\": \"Embedding 001\",\n \"description\": \"Obtain a distributed representation of a text.\",\n \"inputTokenLimit\": 2048,\n \"outputTokenLimit\": 1,\n \"supportedGenerationMethods\": [\"embedContent\", \"countTextTokens\"]\n },\n {\n \"name\": \"models/aqa\",\n \"version\": \"001\",\n \"displayName\": \"Model that performs Attributed Question Answering.\",\n \"description\":\n \"Model trained to return answers to questions that are grounded in provided sources, along with estimating answerable probability.\",\n \"inputTokenLimit\": 7168,\n \"outputTokenLimit\": 1024,\n \"supportedGenerationMethods\": [\"generateAnswer\"],\n \"temperature\": 0.2,\n \"topP\": 1,\n \"topK\": 40\n }\n]"
},
{
"path": "assets/json_models/gemini_response.json",
"content": "{\n \"candidates\": [\n {\n \"content\": {\n \"parts\": [\n {\n \"text\": \"Once upon a time, in a small town nestled at the foot of towering mountains, there lived a young girl named Lily. Lily was an adventurous and imaginative child, always dreaming of exploring the world beyond her home. One day, while wandering through the attic of her grandmother's house, she stumbled upon a dusty old backpack tucked away in a forgotten corner. Intrigued, Lily opened the backpack and discovered that it was an enchanted one. Little did she know that this magical backpack would change her life forever.\\n\\nAs Lily touched the backpack, it shimmered with an otherworldly light. She reached inside and pulled out a map that seemed to shift and change before her eyes, revealing hidden paths and distant lands. Curiosity tugged at her heart, and without hesitation, Lily shouldered the backpack and embarked on her first adventure.\\n\\nWith each step she took, the backpack adjusted to her needs. When the path grew treacherous, the backpack transformed into sturdy hiking boots, providing her with the confidence to navigate rocky terrains. When a sudden rainstorm poured down, the backpack transformed into a cozy shelter, shielding her from the elements.\\n\\nAs days turned into weeks, Lily's journey took her through lush forests, across treacherous rivers, and to the summits of towering mountains. The backpack became her loyal companion, guiding her along the way, offering comfort, protection, and inspiration.\\n\\nAmong her many adventures, Lily encountered a lost fawn that she gently carried in the backpack's transformed cradle. She helped a friendly giant navigate a dense fog by using the backpack's built-in compass. And when faced with a raging river, the backpack magically transformed into a sturdy raft, transporting her safely to the other side.\\n\\nThrough her travels, Lily discovered the true power of the magic backpack. It wasn't just a magical object but a reflection of her own boundless imagination and tenacity. She realized that the world was hers to explore, and the backpack was a tool to help her reach her full potential.\\n\\nAs Lily returned home, enriched by her adventures and brimming with stories, she decided to share the magic of the backpack with others. She organized a special adventure club, where children could embark on their own extraordinary journeys using the backpack's transformative powers. Together, they explored hidden worlds, learned valuable lessons, and formed lifelong friendships.\\n\\nAnd so, the legend of the magic backpack lived on, passed down from generation to generation. It became a reminder that even the simplest objects can hold extraordinary power when combined with imagination, courage, and a sprinkle of magic.\"\n }\n ],\n \"role\": \"model\"\n },\n \"finishReason\": \"STOP\",\n \"index\": 0,\n \"safetyRatings\": [\n {\n \"category\": \"HARM_CATEGORY_SEXUALLY_EXPLICIT\",\n \"probability\": \"NEGLIGIBLE\"\n },\n {\n \"category\": \"HARM_CATEGORY_HATE_SPEECH\",\n \"probability\": \"NEGLIGIBLE\"\n },\n {\n \"category\": \"HARM_CATEGORY_HARASSMENT\",\n \"probability\": \"NEGLIGIBLE\"\n },\n {\n \"category\": \"HARM_CATEGORY_DANGEROUS_CONTENT\",\n \"probability\": \"NEGLIGIBLE\"\n }\n ]\n }\n ],\n \"promptFeedback\": {\n \"safetyRatings\": [\n {\n \"category\": \"HARM_CATEGORY_SEXUALLY_EXPLICIT\",\n \"probability\": \"NEGLIGIBLE\"\n },\n {\n \"category\": \"HARM_CATEGORY_HATE_SPEECH\",\n \"probability\": \"NEGLIGIBLE\"\n },\n {\n \"category\": \"HARM_CATEGORY_HARASSMENT\",\n \"probability\": \"NEGLIGIBLE\"\n },\n {\n \"category\": \"HARM_CATEGORY_DANGEROUS_CONTENT\",\n \"probability\": \"NEGLIGIBLE\"\n }\n ]\n }\n}"
},
{
"path": "assets/json_models/generation_config.json",
"content": "{\n \"stopSequences\": [\n \"Title\"\n ],\n \"temperature\": 1.0,\n \"maxOutputTokens\": 800,\n \"topP\": 0.8,\n \"topK\": 10\n}"
},
{
"path": "example/.gitignore",
"content": "# Miscellaneous\n*.class\n*.log\n*.pyc\n*.swp\n.DS_Store\n.atom/\n.buildlog/\n.history\n.svn/\nmigrate_working_dir/\n\n# IntelliJ related\n*.iml\n*.ipr\n*.iws\n.idea/\n\n# The .vscode folder contains launch configuration and tasks you configure in\n# VS Code which you may wish to be included in version control, so this line\n# is commented out by default.\n#.vscode/\n\n# Flutter/Dart/Pub related\n**/doc/api/\n**/ios/Flutter/.last_build_id\n.dart_tool/\n.flutter-plugins\n.flutter-plugins-dependencies\n.pub-cache/\n.pub/\n/build/\n\n# Symbolication related\napp.*.symbols\n\n# Obfuscation related\napp.*.map.json\n\n# Android Studio will place build artifacts here\n/android/app/debug\n/android/app/profile\n/android/app/release\n"
},
{
"path": "example/.metadata",
"content": "# This file tracks properties of this Flutter project.\n# Used by Flutter tool to assess capabilities and perform upgrades etc.\n#\n# This file should be version controlled and should not be manually edited.\n\nversion:\n revision: \"2663184aa79047d0a33a14a3b607954f8fdd8730\"\n channel: \"stable\"\n\nproject_type: app\n\n# Tracks metadata for the flutter migrate command\nmigration:\n platforms:\n - platform: root\n create_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n base_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n - platform: android\n create_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n base_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n - platform: ios\n create_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n base_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n - platform: linux\n create_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n base_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n - platform: macos\n create_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n base_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n - platform: web\n create_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n base_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n - platform: windows\n create_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n base_revision: 2663184aa79047d0a33a14a3b607954f8fdd8730\n\n # User provided section\n\n # List of Local paths (relative to this file) that should be\n # ignored by the migrate tool.\n #\n # Files that are not part of the templates will be ignored by default.\n unmanaged_files:\n - 'lib/main.dart'\n - 'ios/Runner.xcodeproj/project.pbxproj'\n"
},
{
"path": "example/README.md",
"content": "# example\n\nA new Flutter project.\n\n## Getting Started\n\nThis project is a starting point for a Flutter application.\n\nA few resources to get you started if this is your first Flutter project:\n\n- [Lab: Write your first Flutter app](https://docs.flutter.dev/get-started/codelab)\n- [Cookbook: Useful Flutter samples](https://docs.flutter.dev/cookbook)\n\nFor help getting started with Flutter development, view the\n[online documentation](https://docs.flutter.dev/), which offers tutorials,\nsamples, guidance on mobile development, and a full API reference.\n"
},
{
"path": "example/analysis_options.yaml",
"content": "# This file configures the analyzer, which statically analyzes Dart code to\n# check for errors, warnings, and lints.\n#\n# The issues identified by the analyzer are surfaced in the UI of Dart-enabled\n# IDEs (https://dart.dev/tools#ides-and-editors). The analyzer can also be\n# invoked from the command line by running `flutter analyze`.\n\n# The following line activates a set of recommended lints for Flutter apps,\n# packages, and plugins designed to encourage good coding practices.\ninclude: package:flutter_lints/flutter.yaml\n\nlinter:\n # The lint rules applied to this project can be customized in the\n # section below to disable rules from the `package:flutter_lints/flutter.yaml`\n # included above or to enable additional rules. A list of all available lints\n # and their documentation is published at https://dart.dev/lints.\n #\n # Instead of disabling a lint rule for the entire project in the\n # section below, it can also be suppressed for a single line of code\n # or a specific dart file by using the `// ignore: name_of_lint` and\n # `// ignore_for_file: name_of_lint` syntax on the line or in the file\n # producing the lint.\n rules:\n # avoid_print: false # Uncomment to disable the `avoid_print` rule\n # prefer_single_quotes: true # Uncomment to enable the `prefer_single_quotes` rule\n\n# Additional information about this file can be found at\n# https://dart.dev/guides/language/analysis-options\n"
},
{
"path": "example/android/.gitignore",
"content": "gradle-wrapper.jar\n/.gradle\n/captures/\n/gradlew\n/gradlew.bat\n/local.properties\nGeneratedPluginRegistrant.java\n\n# Remember to never publicly share your keystore.\n# See https://flutter.dev/to/reference-keystore\nkey.properties\n**/*.keystore\n**/*.jks\n"
},
{
"path": "example/android/app/build.gradle",
"content": "plugins {\n id \"com.android.application\"\n id \"kotlin-android\"\n // The Flutter Gradle Plugin must be applied after the Android and Kotlin Gradle plugins.\n id \"dev.flutter.flutter-gradle-plugin\"\n}\n\nandroid {\n namespace = \"com.example.example\"\n compileSdk = flutter.compileSdkVersion\n ndkVersion = flutter.ndkVersion\n\n compileOptions {\n sourceCompatibility = JavaVersion.VERSION_1_8\n targetCompatibility = JavaVersion.VERSION_1_8\n }\n\n kotlinOptions {\n jvmTarget = JavaVersion.VERSION_1_8\n }\n\n defaultConfig {\n // TODO: Specify your own unique Application ID (https://developer.android.com/studio/build/application-id.html).\n applicationId = \"com.example.example\"\n // You can update the following values to match your application needs.\n // For more information, see: https://flutter.dev/to/review-gradle-config.\n minSdk = flutter.minSdkVersion\n targetSdk = flutter.targetSdkVersion\n versionCode = flutter.versionCode\n versionName = flutter.versionName\n }\n\n buildTypes {\n release {\n // TODO: Add your own signing config for the release build.\n // Signing with the debug keys for now, so `flutter run --release` works.\n signingConfig = signingConfigs.debug\n }\n }\n}\n\nflutter {\n source = \"../..\"\n}\n"
},
{
"path": "example/android/app/src/debug/AndroidManifest.xml",
"content": "\n \n \n\n"
},
{
"path": "example/android/app/src/main/AndroidManifest.xml",
"content": "\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n"
},
{
"path": "example/android/app/src/main/kotlin/com/example/example/MainActivity.kt",
"content": "package com.example.example\n\nimport io.flutter.embedding.android.FlutterActivity\n\nclass MainActivity: FlutterActivity()\n"
},
{
"path": "example/android/app/src/main/res/drawable/launch_background.xml",
"content": "\n\n\n